CONSIDERING the high computational load of synthetic
|
|
- Austin Bates
- 5 years ago
- Views:
Transcription
1 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 5, NO. 4, OCTOBER Doppler Keystone Transform: An Approah Suitable for Parallel Implementation of SAR Moving Target Imaging Gang Li, Member, IEEE, Xiang-Gen Xia, Senior Member, IEEE, and Ying-Ning Peng, Senior Member, IEEE Abstrat In this letter, a syntheti aperture radar (SAR) data reformatting approah named Doppler Keystone transform (DKT) is proposed to orret the range migration of a moving target. By using the DKT, the SAR imaging program, i.e., the 2-D mathed filtering, an be transformed into separate 1-D operations along range or azimuth diretion, and therefore, the DKT is suitable for the parallel implementation of SAR imaging of the moving target. Our simulations show that by ombining the DKT and the Doppler phase ompensation methods, the moving target an be well imaged in high signal lutter-ratio ase. Index Terms Moving target imaging, parallel implementation, syntheti aperture radar (SAR). I. INTRODUCTION CONSIDERING the high omputational load of syntheti aperture radar (SAR) imaging, parallel proessing is adopted by many real-time SAR systems [13] [16]. In the appliation of SAR imaging of stationary sene, a well-known way of the parallel imaging is transforming the SAR 2-D mathed filtering into sequential 1-D operations along range or azimuth diretion and evenly partitioning the data and the operations on multiple parallel proessors [13], [14]. However, this way is not suitable for the parallel imaging of the moving target due to the fat that the unknown range migration of the moving target auses the oupling between the range and azimuth signals. The onventional algorithms of moving target imaging based on the motion parameter estimation [1] [3] or the Doppler parameter estimation [4] [7] are not designed for parallel proessing, and some elaborated partitions of the data and the omputations may be required to guarantee the effiieny of the implementation of these algorithms on multiple parallel proessors. In [8], a SAR data reformatting approah named Keystone transform (KT) was proposed to orret the range walk (the Manusript reeived September 21, 2007; revised November 30, 2007, January 13, 2008, Marh 10, 2008, and April 25, Current version published Otober 22, This work was supported by the Chuanxin Foundation from the Department of Eletroni Engineering, Tsinghua University. The work of X.-G. Xia was supported in part by the Air Fore Offie of Sientifi Researh (AFOSR) under Grant FA and in part by DEPSCoR under Grant W911NF through ARO. G. Li and Y.-N. Peng are with the Department of Eletroni Engineering, Tsinghua University, Beijing , China ( gangli@tsinghua.edu.n; ynpeng@tsinghua.edu.n). X.-G. Xia is with the Department of Eletrial and Computer Engineering, University of Delaware, Newark, DE USA ( xxia@ee.udel.edu). Digital Objet Identifier /LGRS linear omponent of the range migration), and it was ombined with the Doppler phase ompensation methods to image the moving target. The KT-based algorithm is inherently suitable for parallel implementation beause the SAR 2-D mathed filtering an be deomposed by the KT into separate 1-D operations along range or azimuth diretion without the knowledge of the target veloity, and, aordingly, the omputations an be parallelized to run on multiple proessors with the same (or very similar) program and at the same duration. However, the range migration orretion (RMC) by the KT is only approximate, and it leaves a residual term referred to as a range urvature (the quadrati omponent of the range migration). The range urvature effet beomes severe when the distane between the radar and the target is short or the SAR range resolution is high, whih may degenerate the imaging quality. To resolve this problem, in [9], the RMC is divided into two steps. The range urvature is first orreted by a seond-order KT (SKT), and then, the range walk is orreted by estimating the slope of the signature envelope in the 2-D time domain. The slope estimation of the 2-D signature envelope does not have an easy parallel arhiteture like the KT-based algorithm, and some elaborated segments and partitions of the data and the operations may be needed to implement the SKT-based algorithm in parallel. In this letter, a SAR data reformatting approah named Doppler KT (DKT) is proposed to orret the range migration of the moving target. It will be shown that both the range walk and the range urvature an be simultaneously orreted by the DKT and that by ombining the DKT and the Doppler phase ompensation methods, the moving target an be imaged in high signal lutter-ratio (SCR) ase. Moreover, the SAR 2-D mathed filtering is deomposed by the DKT into separate 1-D omputations along range or azimuth diretion. Therefore, the DKT is suitable for the parallel implementation of SAR imaging of the moving target. Another algorithm of moving target imaging based on extended hirp saling is also omposed of 1-D operations [20]. The differene between this letter and [20] is that, to orret the range migration of a moving target, data reformatting along the azimuth diretion is adopted in this letter, whereas a hirp saling vetor multipliation in the range diretion is used in [20]. The remainder of this letter is organized as follows. In Setion II, the KT and the SKT are briefly reviewed. In Setion III, the DKT-based algorithm is proposed, and its parallel implementation and omputational omplexity are disussed. In Setion IV, some simulation results X/$ IEEE Authorized liensed use limited to: Tsinghua University Library. Downloaded on November 6, 2008 at 00:43 from IEEE Xplore. Restritions apply.
2 574 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 5, NO. 4, OCTOBER 2008 where the linear and quadrati phase terms in t represent the oupling between f τ and t, and they are referred to as range walk and range urvature, respetively. If we let Fig. 1. Slant plane of SAR geometry. are given to demonstrate the performane of the DKT-based algorithm. II. REVIEW OF KT AND SKT In this setion, we briefly review the RMC by KT [8] and SKT [9]. The typial SAR geometry is shown in Fig. 1. The X-axis is the azimuth diretion, and the R-axis is the range diretion. The radar platform flies along the azimuth diretion with onstant veloity ν, and a target P moves with onstant azimuth speed ν x and range speed ν r. When the radar beam enter is passing by P, P is assumed to be loated at the range r 0, and this moment is defined as azimuth time (or slow time) t =0. The goal of this letter is to image P with the unknown (ν x,ν r ). By supposing that the radar transmits a linear frequenymodulated signal (or hirp signal), the baseband eho from P is [ s(t, τ) =A exp jπγ ( τ 2R(t) ) ] 2 [ exp ] j 4πf R(t) (1) where A is the omplex amplitude, γ is the hirp rate of the transmitted signal, τ is the range time (or fast time), is the speed of light, f is the arrier frequeny, R(t) is the instantaneous distane from the radar to the target, and it an be expressed as R(t) r 0 ν r t +((ν ν x ) 2 /2r 0 )t 2.In aordane with the stationary phase priniple [11], the Fourier transform of (1) in terms of τ yields [ s(t, f τ ) A exp jπ f τ 2 ] [ exp j 4π(f ] + f τ ) R(t) γ (2) where A is the onstant omplex amplitude, andf τ is the range frequeny. After the mathed filtering in range diretion, i.e., multiplying exp[jπf 2 τ /γ] to (2), (2) beomes s(t, f τ ) A exp j 4π(f + f τ ) r 0 + j 4π(f + f τ ) ν r t j 2π(f + f τ ) (ν ν x) 2 t 2 (3) r 0 then (3) beomes s (t,f τ )=A exp t = f f + f τ t (4) j 4π(f + f τ ) r 0 + j 4πf ν r t 2πf 2 j (f + f τ ) (ν ν x) 2 t 2 r 0 where the linear oupling between f τ and t has been removed, i.e., the range walk has been orreted. This is the basi idea of the KT [8]. By using 1/(f + f τ ) (f f τ )/f 2 in the last term of (5), one an see that the quadrati oupling between f τ and t is still left, i.e., the range urvature effet is still not orreted. When the distane between the radar and the target is short or the SAR range resolution is high, the range urvature effet will beome severe and ause the degeneration of the imaging quality. To resolve this problem, the SKT was proposed in [9], whih replaes (4) by ( ) 1/2 f t = t. (6) f + f τ Substituting (6) into (3) yields s (t,f τ ) A exp j 4π(f + f τ ) r 0 + j 4π ( f + 1 ) 2 f τ ν r t j 2πf (5) (ν ν x) 2 t 2 r 0. (7) It is lear that the quadrati oupling between f τ and t has been removed by the SKT, i.e., the range urvature has been orreted, but the linear oupling between f τ and t is still left, i.e., the range walk is still not orreted. If we perform the inverse Fourier transform in terms of f τ, the signature in the 2-D time domain will show a straight-line envelope, and then, the range walk an be orreted by estimating the slope of the 2-D signature envelope. In summary, the SKT orrets both the range walk and the range urvature, whereas the KT only orrets the range walk; thus, the SKT is better from the viewpoint of the imaging quality. However, the KT is better from the viewpoint of the parallel implementation. When the effet of f τ on the last term in (5) is ignored, i.e., when the range urvature is negleted, the SAR 2-D mathed filtering has been deomposed by the KT into separate 1-D operations along range or azimuth diretion. Then, in every step of the KT-based algorithm, one an easily segment the data and the operations aording to the range/azimuth index number and partition the omputations to run on multiple parallel proessors with the same (or very similar) program and at the same duration. The partitions of Authorized liensed use limited to: Tsinghua University Library. Downloaded on November 6, 2008 at 00:43 from IEEE Xplore. Restritions apply.
3 LI et al.: DKT: AN APPROACH SUITABLE FOR PARALLEL IMPLEMENTATION OF SAR MOVING TARGET IMAGING 575 the data and the omputations are simple but do guarantee the high effiieny of the parallel implementation, and thus, we an say that the KT-based algorithm is inherently suitable for parallel implementation. In ontrast, the slope estimation of the 2-D signature envelope is required for the SKT-based algorithm, whih may be diffiult to be implemented in parallel with high effiieny (at least more diffiult than the KT-based algorithm) unless some elaborated partitions of the data and the omputations are speifially designed. We next propose an alternative method. III. DKT-BASED ALGORITHM In this setion, first, the DKT-based algorithm is desribed, then its parallel implementation is introdued, and finally, its omputational omplexity is disussed. A. Algorithm Formulation In aordane with the stationary phase priniple [11], we perform the Fourier transform on (3) in terms of t and then have s(f t,f τ ) A (f + f τ ) exp j4πr 0 r 0 +jπ 2(ν ν x ) 2 (f + f τ ) (f t f d,τ ) 2 (8) where A is the onstant omplex amplitude, f t is the Doppler frequeny, f d,τ is the Doppler entroid for various f τ, and it an be expressed as f d,τ =2ν r (f + f τ )/. The seond term of (8) inludes the oupling between f τ and f t, and it implies the range migration in the 2-D frequeny domain. Now, we resale the f t axis by the following transform: (f t f d,τ )= f + f τ f (f t f d ) (9) where f d Δ = fd,τ fτ =0 =2ν r f /, i.e., we substitute (9) into (8), and then, we have s (f t,f τ ) A (f + f τ ) exp j4πr 0 r 0 +jπ 2(ν ν x ) 2 (f t f d ) 2 f. (10) One an see that the oupling between f τ and f t has been ompletely removed in (10), i.e., the range migration has been orreted. The transform in (9) is named DKT, whih an be implemented by interpolations as done in [8] or by a omputationally effiient saling priniple as done in [10]. It is noted that the DKT in (9) requires the estimates of f d,τ for every f τ. This is easily ahieved by applying the lassial algorithms of the Doppler entroid estimation, suh as the energy balaning or the optimal estimator, et. [12], on the Doppler spetra for Fig. 2. Flowhart of the DKT-based algorithm. every f τ. After the RMC by the DKT, we take the inverse Fourier transform in terms of f τ in (10) and have ( s (f t,τ) A δ τ 2r ) 0 r 0 exp jπ 2(ν ν x ) 2 (f t f d ) 2 (11) f where A is the onstant omplex amplitude. Then, the Doppler phase ompensation approahes, suh as the time frequeny analysis [4], [6], an be used for azimuth mathed filtering, and as a result, the fine SAR imaging results an be obtained. B. Parallel Implementation The aforementioned desriptions imply that the SAR 2-D mathed filtering an be deomposed by the DKT into separate 1-D operations along range or azimuth diretion. Therefore, similar to the KT-based algorithm, the DKT-based algorithm is also inherently suitable for parallel implementation. The flowhart of the parallel implementation of the DKT-based algorithm is shown in Fig. 2, where SAR imaging of the moving target is aomplished by sequential steps and eah step onsists of 1-D operations along range or azimuth diretion. The orner turn in Fig. 2 is the data transpose proessing whih is helpful to quikly aess the data matrix and effiiently perform the vetor omputation [13], [14]. Similar to the parallel implementation of the SAR imaging of stationary sene [13], [14], in eah step in Fig. 2, the data an be evenly segmented into several subbloks, and these subbloks and orresponding omputations an be parallelized to run on multiple proessors with the same (or very similar) program and at the same duration. By using the interpolation-free approah proposed in [10] to Authorized liensed use limited to: Tsinghua University Library. Downloaded on November 6, 2008 at 00:43 from IEEE Xplore. Restritions apply.
4 576 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 5, NO. 4, OCTOBER 2008 implement (9), most omputations of the DKT-based algorithm in Fig. 2 are fast Fourier transforms (FFTs), inverse FFTs (IFFTs), omplex vetor multipliations, and salar operations, all of whih are ommon operations in popular parallel systems [14] [16]. In this way, the high implementation effiieny of the DKT-based algorithm an be ahieved in popular parallel systems. C. Computational Complexity The DKT-based algorithm is ompared with the SKT-based algorithm in terms of the omputational omplexity as follows. From Fig. 2, one an see that, exept Steps 4 and 5, other steps are also required for the SKT-based algorithm [9]. Moreover, both the SKT and the DKT an be implemented by the same way, i.e., by the interpolation [8] or the hirp saling method [10]. Therefore, with the given size of the raw data blok to be proessed, we only need to ompare the omputational amounts between the Step 4 in Fig. 2 and the range walk orretion in [9]. In what follows, we assume that the data blok onsists of N N samples. In [9], the range walk should be orreted sequentially with the following two steps: 1) The slope of the 2-D signature envelope should be estimated. Sine in [9] no speifi slope estimation is mentioned, let us assume that Radon transform [17] is used for the estimation sine it is a popular and effiient method. The omputational omplexity of the Radon transform is about O(N 3 ), and it may be redued to O(N 2 log 2 N) by some fast ways, whih omes at the ost of inreasing errors [18], and 2) after the slope estimation, the interpolation along the range diretion should be operated sine the range walk value might not be multiple times of the range sampling unit. In Step 4 of the DKT-based algorithm, for eah f τ, f d,τ an be estimated by the orrelation operation (see [12, eqs. 14 and 15]), whih an be implemented by [19] Fig. 3. Resolutions versus various SCRs. (a) Range resolution. (b) Azimuth resolution. f d,τ =arg ft U(f t,f τ )=0 U(f t,f τ )=IFFT ft FFT ft [W (f t,f τ )] onj (FFT ft [G(f t,f τ )]) (12) where W (f t,f τ ) is the azimuth power spetrum, G(f t,f τ ) is the weighting funtion of the optimal estimator of the Doppler entroid [12], and onj( ) denotes the onjugate operation. From (12), one an alulate that the omputational omplexity of Step 4 in Fig. 2 is about O(N 2 log 2 N), and note that it does not need the additional interpolation and does not inrease the error. Therefore, the DKT-based algorithm has lower omputation omplexity than the one in [9]. Moreover, as mentioned in the previous setion, the DKT-based algorithm is inherently suitable for parallel implementation, whereas to perform the SKT-based algorithm in [9] in parallel, some elaborated data partitions may be needed for the Radon transform and the interpolation in range diretion. IV. SIMULATION RESULTS To demonstrate the performane of the DKT-based algorithm, some simulations are provided in this setion. The radar Fig. 4. Imaging results of the DKT-based algorithm. (a) Two-dimensional IRF. (b) Range profile of the IRF. () Azimuth profile of the IRF. parameters are as follows: pulse repetition frequeny PRF = 1 khz, arrier frequeny f =10GHz, slant range r 0 =10km, platform speed ν = 100 m/s, pulse bandwidth is 200 MHz, and syntheti aperture time is 4 s. A simulated point target is moving with the onstant speed vetor (ν x,ν r )=(3, 4) m/s. From these parameters, one an alulate that the theoretial range and azimuth resolutions are about 0.75 and 0.39 m, respetively. Authorized liensed use limited to: Tsinghua University Library. Downloaded on November 6, 2008 at 00:43 from IEEE Xplore. Restritions apply.
5 LI et al.: DKT: AN APPROACH SUITABLE FOR PARALLEL IMPLEMENTATION OF SAR MOVING TARGET IMAGING 577 It is assumed that the distribution of the lutter is Gaussian, and the optimal estimator of the Doppler entroid [12] is used to estimate f d,τ in the DKT [see (9)]. Fig. 3 shows the range and azimuth resolutions for various SCRs, where 100 Monte Carlo experiments are run for eah simulation. In Fig. 3(a), the range resolution varies nonmonotonially versus various SCRs. The reason is that the range resolution is determined by the pulse bandwidth and that the range-diretion mathed filtering has been done before the DKT. In Fig. 3(b), the azimuth resolution beomes oarse in the lower SCR ase. The reason is that, in the lower SCR ase, the DKT produes the inomplete RMC due to the larger estimation errors of all f d,τ. This implies that higher SCR is required for the DKT-based algorithm. For example, if the desired azimuth resolution is smaller than 1 m, the SCR higher than 12 db is required. When SCR =20dB, the imaging results of the DKT-based algorithm are shown in Fig. 4, where the 2-D impulse response funtion is shown in Fig. 4(a) and its range and azimuth profiles are shown in Fig. 4(b) and (), respetively. This proves that the DFT-based algorithm works well in high SCR ase. V. C ONCLUSION In this letter, a SAR data reformatting approah in the 2-D frequeny domain, whih is named DKT, is proposed to orret the range migration of the moving target. Our simulation results show that by ombining the DKT with the Doppler phase ompensation approahes, the DKT-based algorithm an well image the moving target in high SCR ase. Moreover, by using the DKT, the SAR 2-D mathed filtering an be deomposed into separate 1-D omputations along the range or azimuth diretion; therefore, the DKT-based algorithm is suitable for the parallel implementation of SAR imaging of the moving target. REFERENCES [1] S. Werness, W. Carrara, L. Joye, and D. Franzak, Moving target imaging algorithm for SAR data, IEEE Trans. Aerosp. Eletron. Syst., vol.26, no. 1, pp , Jan [2] M. Kirsht, Detetion and imaging of arbitrarily moving targets with single-hannel SAR, Pro. Inst. Eletr. Eng Radar, Sonar Navigation, vol. 150, no. 1, pp. 7 11, Feb [3] J. M. B. Dias and P. A. C. Marques, Multiple moving target detetion and trajetory estimation using a single SAR sensor, IEEE Trans. Aerosp. Eletron. Syst., vol. 39, no. 2, pp , Apr [4] S. Barbarossa, Detetion and imaging of moving objets with syntheti aperture radar, Pro. Inst. Eletr. Eng. Pt. F, vol. 139, no. 1, pp , Feb [5] M. Soumekh, Reonnaissane with ultra wideband UHF syntheti aperture radar, IEEE Signal Proess. Mag., vol. 12, no. 4, pp , Jul [6] V. C. Chen and L. Hao, Joint time frequeny analysis for radar signal and image proessing, IEEE Signal Proess. Mag., vol. 16, no. 2, pp , Mar [7] G. Wang, X.-G. Xia, and V. C. Chen, Dual-speed SAR imaging of moving targets, IEEE Trans. Aerosp. Eletron. Syst., vol. 42, no. 1, pp , Jan [8] R. P. Perry, R. C. Dipietro, and R. L. Fante, SAR imaging of moving targets, IEEE Trans. Aerosp. Eletron. Syst., vol. 35, no. 1, pp , Jan [9] F. Zhou, R. Wu, M. Xing, and Z. Bao, Approah for single hannel SAR ground moving target imaging and motion parameter estimation, IET Radar, Sonar Navig., vol. 1, no. 1, pp , Feb [10] D. Zhu, Y. Li, and Z. Zhu, A keystone transform without interpolation for SAR ground moving-target imaging, IEEE Geosi. Remote Sens. Lett., vol. 4, no. 1, pp , Jan [11] R. K. Raney, A new and fundamental Fourier transform pair, in Pro. IGARSS, May 1992, pp [12] R. Bamler, Doppler frequeny estimation and the Cramer Rao bound, IEEE Trans. Geosi. Remote Sens., vol. 29, no. 3, pp , May [13] H. Jeong, J. H. Park, H. Y. Ryu, J. B. Kwon, and Y. Oh, VLSI arhiteture for SAR data ompression, IEEE Trans. Aerosp. Eletron. Syst., vol. 38, no. 2, pp , Apr [14] P. G. Meisl, M. R. Ito, and I. G. Cumming, Parallel syntheti aperture radar proessing on workstation networks, in Pro. 10th Int. Parallel Proess. Symp., Apr. 1996, pp [15] H. Kloos, J. P. Wittenburg, W. Hinrihs, H. Lieske, L. Friebe, and P. Pirsh, HiPAR-DSP 16: A parallel DSP for onboard real-time proessing of syntheti aperture radar data, in Pro. IGARSS, 2000, pp [16] G. A. Mastin, S. J. Plimpton, and D. C. Ghiglia, A massively parallel digital proessor for spotlight syntheti aperture radar, Int. J. High Perform. Comput. Appl., vol. 7, no. 2, pp , [17] S. R. Deans, The Radon Transform and Some of Its Appliation. Hoboken, NJ: Wiley, [18] W. A. Gotz and H. J. Drukmoller, A fast digital radon transform An effiient means for evaluating the Hough transform, Pattern Reognit., vol. 29, no. 4, pp , [19] A. V. Oppenheim, A. S. Willsky, and S. H. Nawab, Signals and Systems, 2nd ed. Englewood Cliffs, NJ: Prentie-Hall, [20] M. Gabele and I. Sikaneta, Motion parameter estimation of Dopplerambiguous moving targets in SAR-GMTI, in Pro. Int. Radar Symp., Cologne, Germany, Sep Authorized liensed use limited to: Tsinghua University Library. Downloaded on November 6, 2008 at 00:43 from IEEE Xplore. Restritions apply.
RANGE DOPPLER ALGORITHM FOR BISTATIC SAR PROCESSING BASED ON THE IMPROVED LOFFELD S BISTATIC FORMULA
Progress In Eletromagnetis Researh Letters, Vol. 27, 161 169, 2011 RANGE DOPPLER ALGORITHM FOR ISTATIC SAR PROCESSING ASED ON THE IMPROVED LOFFELD S ISTATIC FORMULA X. Wang 1, * and D. Y. Zhu 2 1 Nanjing
More informationDetecting Moving Targets in Clutter in Airborne SAR via Keystoning and Multiple Phase Center Interferometry
Deteting Moving Targets in Clutter in Airborne SAR via Keystoning and Multiple Phase Center Interferometry D. M. Zasada, P. K. Sanyal The MITRE Corp., 6 Eletroni Parkway, Rome, NY 134 (dmzasada, psanyal)@mitre.org
More informationAZIMUTH NONLINEAR CHIRP SCALING INTEGRATED WITH RANGE CHIRP SCALING ALGORITHM FOR HIGHLY SQUINTED SAR IMAGING
Progress In Eletromagnetis Researh, Vol. 143, 165 185, 2013 AZIMUTH NONLINEAR CHIRP SCALING INTEGRATED WITH RANGE CHIRP SCALING ALGORITHM FOR HIGHLY SQUINTED SAR IMAGING Qinglin Zhai *, Wei Wang, Jiemin
More informationAn Extended Wavenumber-Domain Algorithm Combined with Two-Step Motion Compensation for Bistatic Forward-Looking SAR
Progress In Eletromagnetis Researh Letters, Vol. 63, 85 92, 2016 An Extended Wavenumber-Domain Algorithm Combined with Two-Step Motion Compensation for Bistati Forward-Looking SAR Yuebo Zha 1, * and Wei
More informationPARAMETRIC SAR IMAGE FORMATION - A PROMISING APPROACH TO RESOLUTION-UNLIMITED IMAGING. Yesheng Gao, Kaizhi Wang, Xingzhao Liu
20th European Signal Proessing Conferene EUSIPCO 2012) Buharest, Romania, August 27-31, 2012 PARAMETRIC SAR IMAGE FORMATION - A PROMISING APPROACH TO RESOLUTION-UNLIMITED IMAGING Yesheng Gao, Kaizhi Wang,
More informationIMPROVEMENTS to processing methods for synthetic
1 Generalized SAR Proessing and Motion Compensation Evan C. Zaugg Brigham Young University Mirowave Earth Remote Sensing Laboratory 459 Clyde Building, Provo, UT 846 81-4-4884 zaugg@mers.byu.edu Abstrat
More informationMoving target location and imaging using dual-speed velocity SAR
Moving target location and imaging using dual-speed velocity SAR G. Li, J. Xu, Y.-N. Peng and X.-G. Xia Abstract: Velocity synthetic aperture radar (VSAR) is an effective tool for slowly moving target
More informationFast image-formation algorithm for ultrahigh-resolution airborne squint spotlight synthetic aperture radar based on adaptive sliding receivewindow
Fast image-formation algorithm for ultrahigh-resolution airborne squint spotlight syntheti aperture radar based on adaptive sliding reeivewindow tehnique Wei Yang Hong-heng Zeng Jie Chen Peng-bo Wang Fast
More informationFocusing Translational Variant Bistatic Forward-Looking SAR Data Based on Two-Dimensional Non-Uniform FFT
Progress In Eletromagnetis Researh M, Vol. 37, 1 10, 2014 Fousing Translational Variant Bistati Forward-Looking SAR Data Based on Two-Dimensional Non-Uniform FFT Chan Liu 1, Shunsheng Zhang 1, *, Chunyang
More informationRECENT interest has arisen in processing bistatic synthetic
4 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO., JANUARY 2008 Proessing of Azimuth-Invariant Bistati SAR Data Using the Range Doppler Algorithm Yew Lam Neo, Frank H. Wong, and Ian G.
More informationTHE time-domain backprojection (BP) algorithm has already
1460 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 11, NO. 9, SEPTEMBER 014 A Fast BP Algorithm With Wavenumber Spetrum Fusion for High-Resolution Spotlight SAR Imaging Lei Zhang, Member, IEEE, Hao-lin
More informationA Novel Validity Index for Determination of the Optimal Number of Clusters
IEICE TRANS. INF. & SYST., VOL.E84 D, NO.2 FEBRUARY 2001 281 LETTER A Novel Validity Index for Determination of the Optimal Number of Clusters Do-Jong KIM, Yong-Woon PARK, and Dong-Jo PARK, Nonmembers
More informationPipelined Multipliers for Reconfigurable Hardware
Pipelined Multipliers for Reonfigurable Hardware Mithell J. Myjak and José G. Delgado-Frias Shool of Eletrial Engineering and Computer Siene, Washington State University Pullman, WA 99164-2752 USA {mmyjak,
More informationNONLINEAR BACK PROJECTION FOR TOMOGRAPHIC IMAGE RECONSTRUCTION. Ken Sauer and Charles A. Bouman
NONLINEAR BACK PROJECTION FOR TOMOGRAPHIC IMAGE RECONSTRUCTION Ken Sauer and Charles A. Bouman Department of Eletrial Engineering, University of Notre Dame Notre Dame, IN 46556, (219) 631-6999 Shool of
More informationAnd, the (low-pass) Butterworth filter of order m is given in the frequency domain by
Problem Set no.3.a) The ideal low-pass filter is given in the frequeny domain by B ideal ( f ), f f; =, f > f. () And, the (low-pass) Butterworth filter of order m is given in the frequeny domain by B
More informationDetection and Recognition of Non-Occluded Objects using Signature Map
6th WSEAS International Conferene on CIRCUITS, SYSTEMS, ELECTRONICS,CONTROL & SIGNAL PROCESSING, Cairo, Egypt, De 9-31, 007 65 Detetion and Reognition of Non-Oluded Objets using Signature Map Sangbum Park,
More informationAn Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model
remote sensing Artile An Imaging Compensation Algorithm for Spaeborne High-Resolution SAR Based on a Continuous Tangent Motion Model Ze Yu 1,, Shusen Wang 1, and Zhou Li 2, *, 1 Shool of Eletronis and
More informationAn Enhanced Forward-Looking SAR Imaging Algorithm Based on Compressive Sensing
Progress In Eletromagnetis Researh M, Vol. 78, 69 81, 2019 An Enhaned Forward-Looking SAR Imaging Algorithm Based on Compressive Sensing Bo Pang, Hao Wu *, Shiqi Xing, Dahai Dai, Yongzhen Li, and Xuesong
More informationPlot-to-track correlation in A-SMGCS using the target images from a Surface Movement Radar
Plot-to-trak orrelation in A-SMGCS using the target images from a Surfae Movement Radar G. Golino Radar & ehnology Division AMS, Italy ggolino@amsjv.it Abstrat he main topi of this paper is the formulation
More informationSystem-Level Parallelism and Throughput Optimization in Designing Reconfigurable Computing Applications
System-Level Parallelism and hroughput Optimization in Designing Reonfigurable Computing Appliations Esam El-Araby 1, Mohamed aher 1, Kris Gaj 2, arek El-Ghazawi 1, David Caliga 3, and Nikitas Alexandridis
More informationVideo Data and Sonar Data: Real World Data Fusion Example
14th International Conferene on Information Fusion Chiago, Illinois, USA, July 5-8, 2011 Video Data and Sonar Data: Real World Data Fusion Example David W. Krout Applied Physis Lab dkrout@apl.washington.edu
More informationBoosted Random Forest
Boosted Random Forest Yohei Mishina, Masamitsu suhiya and Hironobu Fujiyoshi Department of Computer Siene, Chubu University, 1200 Matsumoto-ho, Kasugai, Aihi, Japan {mishi, mtdoll}@vision.s.hubu.a.jp,
More informationDATA ACQUISITION AND PROCESSING OF PARALLEL FREQUENCY SAR BASED ON COMPRESSIVE SENSING
Progress In Eletromagnetis Researh, Vol. 133, 199 215, 2013 DATA ACQUISITION AND PROCESSING OF PARALLEL FREQUENCY SAR BASED ON COMPRESSIVE SENSING Y. N. You, H. P. Xu *, C. S. Li, and L. Q. Zhang Shool
More informationCross-layer Resource Allocation on Broadband Power Line Based on Novel QoS-priority Scheduling Function in MAC Layer
Communiations and Networ, 2013, 5, 69-73 http://dx.doi.org/10.4236/n.2013.53b2014 Published Online September 2013 (http://www.sirp.org/journal/n) Cross-layer Resoure Alloation on Broadband Power Line Based
More informationThe Mathematics of Simple Ultrasonic 2-Dimensional Sensing
The Mathematis of Simple Ultrasoni -Dimensional Sensing President, Bitstream Tehnology The Mathematis of Simple Ultrasoni -Dimensional Sensing Introdution Our ompany, Bitstream Tehnology, has been developing
More informationSmooth Trajectory Planning Along Bezier Curve for Mobile Robots with Velocity Constraints
Smooth Trajetory Planning Along Bezier Curve for Mobile Robots with Veloity Constraints Gil Jin Yang and Byoung Wook Choi Department of Eletrial and Information Engineering Seoul National University of
More informationAn Optimized Approach on Applying Genetic Algorithm to Adaptive Cluster Validity Index
IJCSES International Journal of Computer Sienes and Engineering Systems, ol., No.4, Otober 2007 CSES International 2007 ISSN 0973-4406 253 An Optimized Approah on Applying Geneti Algorithm to Adaptive
More informationThe Minimum Redundancy Maximum Relevance Approach to Building Sparse Support Vector Machines
The Minimum Redundany Maximum Relevane Approah to Building Sparse Support Vetor Mahines Xiaoxing Yang, Ke Tang, and Xin Yao, Nature Inspired Computation and Appliations Laboratory (NICAL), Shool of Computer
More informationSAR image formation toolbox for MATLAB
SAR image formation toolbox for MATLAB LeRoy A. Gorham and Linda J. Moore Air Fore Researh Laboratory, Sensors Diretorate 2241 Avionis Cirle, Bldg 62, WPAFB, OH 45433-7321 ABSTRACT While many syntheti
More informationGray Codes for Reflectable Languages
Gray Codes for Refletable Languages Yue Li Joe Sawada Marh 8, 2008 Abstrat We lassify a type of language alled a refletable language. We then develop a generi algorithm that an be used to list all strings
More informationA Novel Range Compression Algorithm for Resolution Enhancement in GNSS-SARs
sensors Artile A Novel Range Compression Algorithm or Resolution Enhanement in GNSS-SARs Yu Zheng, Yang Yang and Wu Chen Department o Land Surveying and Geo-inormatis, The Hong Kong Polytehni University,
More informationOn - Line Path Delay Fault Testing of Omega MINs M. Bellos 1, E. Kalligeros 1, D. Nikolos 1,2 & H. T. Vergos 1,2
On - Line Path Delay Fault Testing of Omega MINs M. Bellos, E. Kalligeros, D. Nikolos,2 & H. T. Vergos,2 Dept. of Computer Engineering and Informatis 2 Computer Tehnology Institute University of Patras,
More informationPerformance of Histogram-Based Skin Colour Segmentation for Arms Detection in Human Motion Analysis Application
World Aademy of Siene, Engineering and Tehnology 8 009 Performane of Histogram-Based Skin Colour Segmentation for Arms Detetion in Human Motion Analysis Appliation Rosalyn R. Porle, Ali Chekima, Farrah
More informationAcoustic Links. Maximizing Channel Utilization for Underwater
Maximizing Channel Utilization for Underwater Aousti Links Albert F Hairris III Davide G. B. Meneghetti Adihele Zorzi Department of Information Engineering University of Padova, Italy Email: {harris,davide.meneghetti,zorzi}@dei.unipd.it
More informationA {k, n}-secret Sharing Scheme for Color Images
A {k, n}-seret Sharing Sheme for Color Images Rastislav Luka, Konstantinos N. Plataniotis, and Anastasios N. Venetsanopoulos The Edward S. Rogers Sr. Dept. of Eletrial and Computer Engineering, University
More informationISAR IMAGING OF MULTIPLE TARGETS BASED ON PARTICLE SWARM OPTIMIZATION AND HOUGH TRANSFORM
J. of Electromagn. Waves and Appl., Vol. 23, 1825 1834, 2009 ISAR IMAGING OF MULTIPLE TARGETS BASED ON PARTICLE SWARM OPTIMIZATION AND HOUGH TRANSFORM G.G.Choi,S.H.Park,andH.T.Kim Department of Electronic
More informationExtended wavenumber-domain synthetic aperture radar focusing with integrated motion compensation
Extended wavenumber-domain syntheti aperture radar fousing with integrated motion ompensation A. Reigber, E. Alivizatos, A. Potsis and A. Moreira Abstrat: Modern syntheti aperture radar (SAR) systems are
More informationarxiv: v1 [cs.db] 13 Sep 2017
An effiient lustering algorithm from the measure of loal Gaussian distribution Yuan-Yen Tai (Dated: May 27, 2018) In this paper, I will introdue a fast and novel lustering algorithm based on Gaussian distribution
More informationA DYNAMIC ACCESS CONTROL WITH BINARY KEY-PAIR
Malaysian Journal of Computer Siene, Vol 10 No 1, June 1997, pp 36-41 A DYNAMIC ACCESS CONTROL WITH BINARY KEY-PAIR Md Rafiqul Islam, Harihodin Selamat and Mohd Noor Md Sap Faulty of Computer Siene and
More informationGraph-Based vs Depth-Based Data Representation for Multiview Images
Graph-Based vs Depth-Based Data Representation for Multiview Images Thomas Maugey, Antonio Ortega, Pasal Frossard Signal Proessing Laboratory (LTS), Eole Polytehnique Fédérale de Lausanne (EPFL) Email:
More informationRotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors
Eurographis Symposium on Geometry Proessing (003) L. Kobbelt, P. Shröder, H. Hoppe (Editors) Rotation Invariant Spherial Harmoni Representation of 3D Shape Desriptors Mihael Kazhdan, Thomas Funkhouser,
More information3-D IMAGE MODELS AND COMPRESSION - SYNTHETIC HYBRID OR NATURAL FIT?
3-D IMAGE MODELS AND COMPRESSION - SYNTHETIC HYBRID OR NATURAL FIT? Bernd Girod, Peter Eisert, Marus Magnor, Ekehard Steinbah, Thomas Wiegand Te {girod eommuniations Laboratory, University of Erlangen-Nuremberg
More informationBioTechnology. An Indian Journal FULL PAPER. Trade Science Inc. Improvement of low illumination image enhancement algorithm based on physical mode
[Type text] [Type text] [Type text] ISSN : 0974-7435 Volume 10 Issue 22 BioTehnology 2014 An Indian Journal FULL PAPER BTAIJ, 10(22), 2014 [13995-14001] Improvement of low illumination image enhanement
More informationAccommodations of QoS DiffServ Over IP and MPLS Networks
Aommodations of QoS DiffServ Over IP and MPLS Networks Abdullah AlWehaibi, Anjali Agarwal, Mihael Kadoh and Ahmed ElHakeem Department of Eletrial and Computer Department de Genie Eletrique Engineering
More informationApproximate logic synthesis for error tolerant applications
Approximate logi synthesis for error tolerant appliations Doohul Shin and Sandeep K. Gupta Eletrial Engineering Department, University of Southern California, Los Angeles, CA 989 {doohuls, sandeep}@us.edu
More informationthe data. Structured Principal Component Analysis (SPCA)
Strutured Prinipal Component Analysis Kristin M. Branson and Sameer Agarwal Department of Computer Siene and Engineering University of California, San Diego La Jolla, CA 9193-114 Abstrat Many tasks involving
More information特集 Road Border Recognition Using FIR Images and LIDAR Signal Processing
デンソーテクニカルレビュー Vol. 15 2010 特集 Road Border Reognition Using FIR Images and LIDAR Signal Proessing 高木聖和 バーゼル ファルディ Kiyokazu TAKAGI Basel Fardi ヘンドリック ヴァイゲル Hendrik Weigel ゲルド ヴァニーリック Gerd Wanielik This paper
More informationAnalysis of input and output configurations for use in four-valued CCD programmable logic arrays
nalysis of input and output onfigurations for use in four-valued D programmable logi arrays J.T. utler H.G. Kerkhoff ndexing terms: Logi, iruit theory and design, harge-oupled devies bstrat: s in binary,
More informationWe P9 16 Eigenray Tracing in 3D Heterogeneous Media
We P9 Eigenray Traing in 3D Heterogeneous Media Z. Koren* (Emerson), I. Ravve (Emerson) Summary Conventional two-point ray traing in a general 3D heterogeneous medium is normally performed by a shooting
More informationDrawing lines. Naïve line drawing algorithm. drawpixel(x, round(y)); double dy = y1 - y0; double dx = x1 - x0; double m = dy / dx; double y = y0;
Naïve line drawing algorithm // Connet to grid points(x0,y0) and // (x1,y1) by a line. void drawline(int x0, int y0, int x1, int y1) { int x; double dy = y1 - y0; double dx = x1 - x0; double m = dy / dx;
More informationLearning Convention Propagation in BeerAdvocate Reviews from a etwork Perspective. Abstract
CS 9 Projet Final Report: Learning Convention Propagation in BeerAdvoate Reviews from a etwork Perspetive Abstrat We look at the way onventions propagate between reviews on the BeerAdvoate dataset, and
More informationA Partial Sorting Algorithm in Multi-Hop Wireless Sensor Networks
A Partial Sorting Algorithm in Multi-Hop Wireless Sensor Networks Abouberine Ould Cheikhna Department of Computer Siene University of Piardie Jules Verne 80039 Amiens Frane Ould.heikhna.abouberine @u-piardie.fr
More informationOutline: Software Design
Outline: Software Design. Goals History of software design ideas Design priniples Design methods Life belt or leg iron? (Budgen) Copyright Nany Leveson, Sept. 1999 A Little History... At first, struggling
More informationFast Elliptic Curve Algorithm of Embedded Mobile Equipment
Send Orders for Reprints to reprints@benthamsiene.net 8 The Open Eletrial & Eletroni Engineering Journal, 0, 7, 8-4 Fast Ellipti Curve Algorithm of Embedded Mobile Equipment Open Aess Lihong Zhang *, Shuqian
More informationCOST PERFORMANCE ASPECTS OF CCD FAST AUXILIARY MEMORY
COST PERFORMANCE ASPECTS OF CCD FAST AUXILIARY MEMORY Dileep P, Bhondarkor Texas Instruments Inorporated Dallas, Texas ABSTRACT Charge oupled devies (CCD's) hove been mentioned as potential fast auxiliary
More informationDesign and Implementation of Real-time High Squint Spotlight SAR Imaging Processor
Chinese Journal of Electronics Vol.19, No.3, July 2010 Design and Implementation of Real-time High Squint Spotlight SAR Imaging Processor SUN Jinping 1, WANG Jun 1, HONG Wen 2 and MAO Shiyi 1 1.School
More informationTime delay estimation of reverberant meeting speech: on the use of multichannel linear prediction
University of Wollongong Researh Online Faulty of Informatis - apers (Arhive) Faulty of Engineering and Information Sienes 7 Time delay estimation of reverberant meeting speeh: on the use of multihannel
More informationDetection of RF interference to GPS using day-to-day C/No differences
1 International Symposium on GPS/GSS Otober 6-8, 1. Detetion of RF interferene to GPS using day-to-day /o differenes Ryan J. R. Thompson 1#, Jinghui Wu #, Asghar Tabatabaei Balaei 3^, and Andrew G. Dempster
More informationInvalidation Analysis and Revision of Polar Format Algorithm for Dechirped Echo Signals in ISAR Imaging
Progress In Electromagnetics Research M, Vol. 38, 113 121, 2014 Invalidation Analysis and Revision of Polar Format Algorithm for Dechirped Echo Signals in ISAR Imaging Yang Liu *, Na Li, Bin Yuan, and
More informationWe don t need no generation - a practical approach to sliding window RLNC
We don t need no generation - a pratial approah to sliding window RLNC Simon Wunderlih, Frank Gabriel, Sreekrishna Pandi, Frank H.P. Fitzek Deutshe Telekom Chair of Communiation Networks, TU Dresden, Dresden,
More informationThis is an author produced version of Accurate Reconstruction and Suppression for Azimuth Ambiguities in Spaceborne Stripmap SAR Images.
This is an author produced version of Accurate Reconstruction and Suppression for Azimuth Ambiguities in Spaceborne Stripmap SAR Images. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/38/
More informationAnalysis on the Azimuth Shift of a Moving Target in SAR Image
Progress In Electromagnetics Research M, Vol. 4, 11 134, 015 Analysis on the Azimuth Shift of a Moving Target in SAR Image Jiefang Yang 1,, 3, * and Yunhua Zhang 1, Abstract As we know, a moving target
More informationParticle Swarm Optimization for the Design of High Diffraction Efficient Holographic Grating
Original Artile Partile Swarm Optimization for the Design of High Diffration Effiient Holographi Grating A.K. Tripathy 1, S.K. Das, M. Sundaray 3 and S.K. Tripathy* 4 1, Department of Computer Siene, Berhampur
More informationSelf-Adaptive Parent to Mean-Centric Recombination for Real-Parameter Optimization
Self-Adaptive Parent to Mean-Centri Reombination for Real-Parameter Optimization Kalyanmoy Deb and Himanshu Jain Department of Mehanial Engineering Indian Institute of Tehnology Kanpur Kanpur, PIN 86 {deb,hjain}@iitk.a.in
More informationCONVOLUTION BACK-PROJECTION IMAGING ALGO- RITHM FOR DOWNWARD-LOOKING SPARSE LINEAR ARRAY THREE DIMENSIONAL SYNTHETIC APER- TURE RADAR
Progress In Eletromagnetis Researh, Vol. 129, 287 313, 2012 CONVOLUTION BACK-PROJECTION IMAGING ALGO- RITHM FOR DOWNWARD-LOOKING SPARSE LINEAR ARRAY THREE DIMENSIONAL SYNTHETIC APER- TURE RADAR X. M. Peng
More informationAllocating Rotating Registers by Scheduling
Alloating Rotating Registers by Sheduling Hongbo Rong Hyunhul Park Cheng Wang Youfeng Wu Programming Systems Lab Intel Labs {hongbo.rong,hyunhul.park,heng..wang,youfeng.wu}@intel.om ABSTRACT A rotating
More informationExtracting Partition Statistics from Semistructured Data
Extrating Partition Statistis from Semistrutured Data John N. Wilson Rihard Gourlay Robert Japp Mathias Neumüller Department of Computer and Information Sienes University of Strathlyde, Glasgow, UK {jnw,rsg,rpj,mathias}@is.strath.a.uk
More informationMulti-Piece Mold Design Based on Linear Mixed-Integer Program Toward Guaranteed Optimality
INTERNATIONAL CONFERENCE ON MANUFACTURING AUTOMATION (ICMA200) Multi-Piee Mold Design Based on Linear Mixed-Integer Program Toward Guaranteed Optimality Stephen Stoyan, Yong Chen* Epstein Department of
More informationDepartment of Electrical and Computer Engineering University of Wisconsin Madison. Fall
Department of Eletrial and Computer Engineering University of Wisonsin Madison ECE 553: Testing and Testable Design of Digital Systems Fall 2014-2015 Assignment #2 Date Tuesday, September 25, 2014 Due
More informationAlgorithms for External Memory Lecture 6 Graph Algorithms - Weighted List Ranking
Algorithms for External Memory Leture 6 Graph Algorithms - Weighted List Ranking Leturer: Nodari Sithinava Sribe: Andi Hellmund, Simon Ohsenreither 1 Introdution & Motivation After talking about I/O-effiient
More informationTorpedo Trajectory Visual Simulation Based on Nonlinear Backstepping Control
orpedo rajetory Visual Simulation Based on Nonlinear Bakstepping Control Peng Hai-jun 1, Li Hui-zhou Chen Ye 1, 1. Depart. of Weaponry Eng, Naval Univ. of Engineering, Wuhan 400, China. Depart. of Aeronautial
More informationNew Results on the Omega-K Algorithm for Processing Synthetic Aperture Radar Data
New Results on the Omega-K Algorithm for Processing Synthetic Aperture Radar Data Matthew A. Tolman and David G. Long Electrical and Computer Engineering Dept. Brigham Young University, 459 CB, Provo,
More informationCluster-Based Cumulative Ensembles
Cluster-Based Cumulative Ensembles Hanan G. Ayad and Mohamed S. Kamel Pattern Analysis and Mahine Intelligene Lab, Eletrial and Computer Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1,
More information13.1 Numerical Evaluation of Integrals Over One Dimension
13.1 Numerial Evaluation of Integrals Over One Dimension A. Purpose This olletion of subprograms estimates the value of the integral b a f(x) dx where the integrand f(x) and the limits a and b are supplied
More informationINTERPOLATED AND WARPED 2-D DIGITAL WAVEGUIDE MESH ALGORITHMS
Proeedings of the COST G-6 Conferene on Digital Audio Effets (DAFX-), Verona, Italy, Deember 7-9, INTERPOLATED AND WARPED -D DIGITAL WAVEGUIDE MESH ALGORITHMS Vesa Välimäki Lab. of Aoustis and Audio Signal
More informationUsing Augmented Measurements to Improve the Convergence of ICP
Using Augmented Measurements to Improve the onvergene of IP Jaopo Serafin, Giorgio Grisetti Dept. of omputer, ontrol and Management Engineering, Sapienza University of Rome, Via Ariosto 25, I-0085, Rome,
More informationA Dual-Hamiltonian-Path-Based Multicasting Strategy for Wormhole-Routed Star Graph Interconnection Networks
A Dual-Hamiltonian-Path-Based Multiasting Strategy for Wormhole-Routed Star Graph Interonnetion Networks Nen-Chung Wang Department of Information and Communiation Engineering Chaoyang University of Tehnology,
More informationAn Approach to Physics Based Surrogate Model Development for Application with IDPSA
An Approah to Physis Based Surrogate Model Development for Appliation with IDPSA Ignas Mikus a*, Kaspar Kööp a, Marti Jeltsov a, Yuri Vorobyev b, Walter Villanueva a, and Pavel Kudinov a a Royal Institute
More informationVideo stabilization based on a 3D perspective camera model
Vis Comput DOI 10.1007/s00371-009-0310-z ORIGINAL ARTICLE Video stabilization based on a 3D perspetive amera model Guofeng Zhang Wei Hua Xueying Qin Yuanlong Shao Hujun Bao Springer-Verlag 2009 Abstrat
More informationCalculation of typical running time of a branch-and-bound algorithm for the vertex-cover problem
Calulation of typial running time of a branh-and-bound algorithm for the vertex-over problem Joni Pajarinen, Joni.Pajarinen@iki.fi Otober 21, 2007 1 Introdution The vertex-over problem is one of a olletion
More informationUnsupervised Stereoscopic Video Object Segmentation Based on Active Contours and Retrainable Neural Networks
Unsupervised Stereosopi Video Objet Segmentation Based on Ative Contours and Retrainable Neural Networks KLIMIS NTALIANIS, ANASTASIOS DOULAMIS, and NIKOLAOS DOULAMIS National Tehnial University of Athens
More informationTrajectory Tracking Control for A Wheeled Mobile Robot Using Fuzzy Logic Controller
Trajetory Traking Control for A Wheeled Mobile Robot Using Fuzzy Logi Controller K N FARESS 1 M T EL HAGRY 1 A A EL KOSY 2 1 Eletronis researh institute, Cairo, Egypt 2 Faulty of Engineering, Cairo University,
More informationMultiple-Criteria Decision Analysis: A Novel Rank Aggregation Method
3537 Multiple-Criteria Deision Analysis: A Novel Rank Aggregation Method Derya Yiltas-Kaplan Department of Computer Engineering, Istanbul University, 34320, Avilar, Istanbul, Turkey Email: dyiltas@ istanbul.edu.tr
More informationMigration based SAR imaging for ground penetrating radar systems
Migration based SAR imaging for ground penetrating radar systems K. Gu, G. Wang and J. Li Abstrat: The authors onsider migration based syntheti aperture radar (SAR imaging of surfae or shallowly buried
More informationCell Projection of Convex Polyhedra
Volume Graphis (2003) I. Fujishiro, K. Mueller, A. Kaufman (Editors) Cell Projetion of Convex Polyhedra Stefan Roettger and Thomas Ertl Visualization and Interative Systems Group University of Stuttgart
More informationPartial Character Decoding for Improved Regular Expression Matching in FPGAs
Partial Charater Deoding for Improved Regular Expression Mathing in FPGAs Peter Sutton Shool of Information Tehnology and Eletrial Engineering The University of Queensland Brisbane, Queensland, 4072, Australia
More informationCompressed Sensing mm-wave SAR for Non-Destructive Testing Applications using Side Information
Compressed Sensing mm-wave SAR for Non-Destrutive Testing Appliations using Side Information Mathias Bequaert 1,2, Edison Cristofani 1,2, Gokarna Pandey 2, Marijke Vandewal 1, Johan Stiens 2,3 and Nikos
More informationChromaticity-matched Superimposition of Foreground Objects in Different Environments
FCV216, the 22nd Korea-Japan Joint Workshop on Frontiers of Computer Vision Chromatiity-mathed Superimposition of Foreground Objets in Different Environments Yohei Ogura Graduate Shool of Siene and Tehnology
More informationInterferometric synthetic aperture processing: a comparison of sonar and radar
Interferometri syntheti aperture proessing: a omparison of sonar and radar M. Hayes and P. T Gough University of Canterbury, Private Bag 4800, 80 Christhurh, New Zealand mihael.hayes@anterbury.a.nz 6303
More informationParallelization and Performance of 3D Ultrasound Imaging Beamforming Algorithms on Modern Clusters
Parallelization and Performane of 3D Ultrasound Imaging Beamforming Algorithms on Modern Clusters F. Zhang, A. Bilas, A. Dhanantwari, K.N. Plataniotis, R. Abiprojo, and S. Stergiopoulos Dept. of Eletrial
More informationAbstract. Key Words: Image Filters, Fuzzy Filters, Order Statistics Filters, Rank Ordered Mean Filters, Channel Noise. 1.
Fuzzy Weighted Rank Ordered Mean (FWROM) Filters for Mixed Noise Suppression from Images S. Meher, G. Panda, B. Majhi 3, M.R. Meher 4,,4 Department of Eletronis and I.E., National Institute of Tehnology,
More informationIntroduction to Seismology Spring 2008
MIT OpenCourseWare http://ow.mit.edu 1.510 Introdution to Seismology Spring 008 For information about iting these materials or our Terms of Use, visit: http://ow.mit.edu/terms. 1.510 Leture Notes 3.3.007
More informationChemical, Biological and Radiological Hazard Assessment: A New Model of a Plume in a Complex Urban Environment
hemial, Biologial and Radiologial Haard Assessment: A New Model of a Plume in a omplex Urban Environment Skvortsov, A.T., P.D. Dawson, M.D. Roberts and R.M. Gailis HPP Division, Defene Siene and Tehnology
More informationPreliminary investigation of multi-wavelet denoising in partial discharge detection
Preliminary investigation of multi-wavelet denoising in partial disharge detetion QIAN YONG Department of Eletrial Engineering Shanghai Jiaotong University 8#, Donghuan Road, Minhang distrit, Shanghai
More informationAlgorithms, Mechanisms and Procedures for the Computer-aided Project Generation System
Algorithms, Mehanisms and Proedures for the Computer-aided Projet Generation System Anton O. Butko 1*, Aleksandr P. Briukhovetskii 2, Dmitry E. Grigoriev 2# and Konstantin S. Kalashnikov 3 1 Department
More informationPerformance Improvement of TCP on Wireless Cellular Networks by Adaptive FEC Combined with Explicit Loss Notification
erformane Improvement of TC on Wireless Cellular Networks by Adaptive Combined with Expliit Loss tifiation Masahiro Miyoshi, Masashi Sugano, Masayuki Murata Department of Infomatis and Mathematial Siene,
More informationContents Contents...I List of Tables...VIII List of Figures...IX 1. Introduction Information Retrieval... 8
Contents Contents...I List of Tables...VIII List of Figures...IX 1. Introdution... 1 1.1. Internet Information...2 1.2. Internet Information Retrieval...3 1.2.1. Doument Indexing...4 1.2.2. Doument Retrieval...4
More informationA RAY TRACING SIMULATION OF SOUND DIFFRACTION BASED ON ANALYTIC SECONDARY SOURCE MODEL
19th European Signal Proessing Conferene (EUSIPCO 211) Barelona, Spain, August 29 - September 2, 211 A RAY TRACING SIMULATION OF SOUND DIFFRACTION BASED ON ANALYTIC SECONDARY SOURCE MODEL Masashi Okada,
More informationHEXA: Compact Data Structures for Faster Packet Processing
Washington University in St. Louis Washington University Open Sholarship All Computer Siene and Engineering Researh Computer Siene and Engineering Report Number: 27-26 27 HEXA: Compat Data Strutures for
More informationFacility Location: Distributed Approximation
Faility Loation: Distributed Approximation Thomas Mosibroda Roger Wattenhofer Distributed Computing Group PODC 2005 Where to plae ahes in the Internet? A distributed appliation that has to dynamially plae
More information