Po P ls l A S Rpro v5.0. Pr P actic i al E. E. Po P ttie i r E.Pottier (2013)

Size: px
Start display at page:

Download "Po P ls l A S Rpro v5.0. Pr P actic i al E. E. Po P ttie i r E.Pottier (2013)"

Transcription

1 PolSARprov5.0 Practical E. Pottier

2 General Presentation of PolSARpro v5.0 Software

3 SOFTWARE DIRECTORY STRUCTURE PolSARpro_v5.0.tcl is the executable file that launches the POLSARPRO user interface

4 DATA DIRECTORY STRUCTURE Compatible Raw Binary Data 2x2 Complex Sinclair Matrix [S2] DATADIR config.txt s11.bin, s12.bin s21.bin, s22.bin PolarCase Monostatic s12.bin == s21.bin Bistatic s12.bin <> s21.bin Intensities Ixy.bin PolarType Full s11.bin, s12.bin, s21.bin, s22.bin pp1 s11.bin, s21.bin pp2 s12.bin, s22.bin pp3 s11.bin, s22.bin pp4 I11.bin, I12.bin, I22.bin pp5 I11.bin, I21.bin pp6 I12.bin, I22.bin pp7 I11.bin, I22.bin Nrow Ncol PolarCase Monostatic/Bistatic/Intensities PolarType Full/pp1/pp2/pp3/pp4/pp5/pp6/pp7

5 DATA DIRECTORY STRUCTURE Compatible Raw Binary Data 3x3 Complex Coherency Matrix [T3] DATADIR T3 config.txt T11.bin, T12_real.bin, T12_imag.bin, T13_real.bin, T13_imag.bin, T22.bin, T23_real.bin, T23_imag.bin, T33.bin Nrow Ncol PolarCase Monostatic/Bistatic PolarType Full

6 DATA DIRECTORY STRUCTURE Compatible Raw Binary Data 3x3 Complex Covariance Matrix [C3] DATADIR C3 config.txt C11.bin, C12_real.bin, C12_imag.bin, C13_real.bin, C13_imag.bin, C22.bin, C23_real.bin, C23_imag.bin, C33.bin Nrow Ncol PolarCase Monostatic/Bistatic PolarType Full

7 DATA DIRECTORY STRUCTURE Compatible Raw Binary Data 4x4 Complex Coherency Matrix [T4] DATADIR T4 config.txt T11.bin, T12_real.bin, T12_imag.bin, T13_real.bin, T13_imag.bin, T14_real.bin, T14_imag.bin, T22.bin, T23_real.bin, T23_imag.bin, T24_real.bin, T24_imag.bin, T33.bin, T34_real.bin, T34_imag.bin, T44.bin Nrow Ncol PolarCase Bistatic PolarType Full

8 DATA DIRECTORY STRUCTURE Compatible Raw Binary Data 4x4 Complex Covariance Matrix [C4] DATADIR C4 config.txt C11.bin, C12_real.bin, C12_imag.bin, C13_real.bin, C13_imag.bin, C14_real.bin, C14_imag.bin, C22.bin, C23_real.bin, C23_imag.bin, C24_real.bin, C24_imag.bin, C33.bin, C34_real.bin, C34_imag.bin, C44.bin Nrow Ncol PolarCase Bistatic PolarType Full

9 CONFIGURATION

10 PolSARpro v5.0 SOFTWARE MAIN WINDOW ENTRY SCREEN

11 PolSARpro v5.0 SOFTWARE PolSARpro v5.0 MAIN WINDOW Full Screen

12 PolSARpro v5.0 SOFTWARE

13 PolSARpro v5.0 SOFTWARE

14 PolSARpro v5.0 SOFTWARE

15 PolSARpro v5.0 SOFTWARE

16 PolSARpro v5.0 SOFTWARE

17 PolSARpro v5.0 SOFTWARE

18 PolSARpro v5.0 SOFTWARE

19 PolSARpro v5.0 SOFTWARE

20 PolSARpro v5.0 SOFTWARE

21 PolSARpro v5.0 SOFTWARE

22 PolSARpro v5.0 SOFTWARE

23 PolSARpro v5.0 SOFTWARE

24 TEST THE CONFIGURATION

25 PolSARpro v5.0 SOFTWARE Test

26 PolSARpro v5.0 SOFTWARE Config

27 PolSARpro v5.0 SOFTWARE Test

28 PolSARpro v5.0 SOFTWARE Config

29 PolSARpro v5.0 SOFTWARE Test

30 PolSARpro v5.0 SOFTWARE Config

31 PolSARpro v5.0 SOFTWARE Test

32 PolSARpro v5.0 SOFTWARE Config

33 PolSARpro v5.0 SOFTWARE Config

34 Questions?

35 ALOS : Advanced Land Observing Satellite PALSAR : Phase Array L-Band SAR

36 PolSARpro v5.0 SOFTWARE

37 PolSARpro v5.0 SOFTWARE PolSARpro Full Software Single Data Set Multi Data Sets Spaceborne Sensors: ALOS, ENVISAT RADARSAT2, TerraSar, SIR-C Airborne Sensors: AIRSAR, Convair, EMISAR ESAR, PISAR, RAMSES Version for the EO Scientific Investigator

38 PROCESSING CHAIN PolSARpro v5.0 Software performs complete end-to-end processing without the need for any other software. Data Processing Approach along a recommended and easy processing chain Provide a First Qualitative Analysis of the fully polarimetric data set processed Configuration Data Import Data Process Data Display Input Data File QuickLook Extract Raw Data [T3] Elements Speckle Filtering Box Car Gaussian Lee Refined H / A / Alpha Decomposition Parameters Eigenvectors Parameters Eigenvalues Parameters Polarimetric Segmentation H / A / alpha Segmentation Unsupervised Wishart H / A / alpha Segmentation Supervised Wishart H / A / alpha Segmentation Batch Process Speckle Filtering H / A / alpha Decomposition Unsupervised Wishart H / A / alpha Segmentation BMP 8 / 24 bits RGB

39 MAIN MENU

40 MAIN MENU Environment Import Data Display Process Data

41 PROCESSING CHAIN Configuration Data Import Data Process Data Display Input Data File QuickLook Extract Raw Data [T3] Elements Speckle Filtering Box Car Gaussian Lee Refined H / A / Alpha Decomposition Parameters Eigenvectors Parameters Eigenvalues Parameters Polarimetric Segmentation H / A / alpha Segmentation Unsupervised Wishart H / A / alpha Segmentation Supervised Wishart H / A / alpha Segmentation Batch Process Speckle Filtering H / A / alpha Decomposition Unsupervised Wishart H / A / alpha Segmentation BMP 8 / 24 bits RGB

42 PROCESSING CHAIN Configuration Data Import Data Process Data Display Input Data File QuickLook Extract Raw Data [T3] Elements Speckle Filtering Box Car Gaussian Lee Refined H / A / Alpha Decomposition Parameters Eigenvectors Parameters Eigenvalues Parameters Polarimetric Segmentation H / A / alpha Segmentation Unsupervised Wishart H / A / alpha Segmentation Supervised Wishart H / A / alpha Segmentation Batch Process Speckle Filtering H / A / alpha Decomposition Unsupervised Wishart H / A / alpha Segmentation BMP 8 / 24 bits RGB

43 ENVIRONNEMENT Environment Import Data Display Process Data

44 ENVIRONMENT Configure Data Main Directory location Input Directory: C:/ DataDirectory SAN_FRANCISCO_ALOS

45 ENVIRONMENT Configure Data Main Directory location Automatic Data Check (Null or NaN) Configuration File (ENVI) Image Display Size setting

46 ENVIRONMENT Configure Data Main Directory location Color Palette Edition & Modification

47 PROCESSING CHAIN Configuration Data Import Data Process Data Display Input Data File QuickLook Extract Raw Data [T3] Elements Speckle Filtering Box Car Gaussian Lee Refined H / A / Alpha Decomposition Parameters Eigenvectors Parameters Eigenvalues Parameters Polarimetric Segmentation H / A / alpha Segmentation Unsupervised Wishart H / A / alpha Segmentation Supervised Wishart H / A / alpha Segmentation Batch Process Speckle Filtering H / A / alpha Decomposition Unsupervised Wishart H / A / alpha Segmentation BMP 8 / 24 bits RGB

48 ENVIRONNEMENT Environment Import Data Display Process Data

49 Data IMPORT Input Data File

50 Data IMPORT Input Data File Do it Yourself: Enter SAR Leader File Check File

51 Data IMPORT Input Data File Do it Yourself: Enter SAR Leader File Read Header OK

52 Data IMPORT Input Data File

53 Data IMPORT Input Data File

54 Data IMPORT Extract Binary Data

55 Data IMPORT Extract Binary Data Do it Yourself: Multi Look : Row = 8 Col = 1 Run

56 Data IMPORT Extract Binary Data Convert ALOS Fully Polarimetric Data Files to Complex (3x3) Coherency Matrix [T3] INPUT DIR OUTPUT DIR Fully Polarimetric Data Files T3 config.txt Do it Yourself: T11.bin, T12_real.bin, T12_imag.bin, T13_real.bin, T13_imag.bin, T22.bin T23_real.bin, T23_imag.bin, T33.bin Multi Look : Row = 8 Col = 1 Run

57 Display Pauli-RGB Image Open BMP File

58 PolSARpro v5.0 SOFTWARE SRTM ASTER

59 Overlay SRTM Image - Google Download

60 Overlay SRTM Image - Google

61 Overlay SRTM Image - Google Extract

62 Overlay SRTM Image - Google Display

63 Overlay SRTM Image - Google

64 Overlay ASTER Image - Google Download

65 Overlay ASTER Image - Google

66 Overlay ASTER Image - Google Extract

67 Overlay ASTER Image - Google Display

68 Overlay ASTER Image - Google

69 PolSARpro v5.0 MAP READY SOFTWARES

70 PolSARpro v5.0 SOFTWARE MAP READY Pre-Processing Data Extract [T3] Geo-Coding Terrain Correct - UTM Proj. Post - Processing ALOS - PALSAR Only valid for: [C2] matrix: Dual-Pol [T3] matrix: Quad-Pol KML File generation

71 PolSARpro v5.0 SOFTWARE

72 PolSARpro v5.0 SOFTWARE

73 PolSARpro v5.0 SOFTWARE

74 PolSARpro v5.0 SOFTWARE

75 Display Pauli-RGB Image Open BMP File

76 Create Pauli-RGB to KML Image

77 GOOGLE EARTH

78 PROCESSING CHAIN Configuration Data Import Data Process Data Display Input Data File QuickLook Extract Raw Data [T3] Elements Speckle Filtering Box Car Gaussian Lee Refined H / A / Alpha Decomposition Parameters Eigenvectors Parameters Eigenvalues Parameters Polarimetric Segmentation H / A / alpha Segmentation Unsupervised Wishart H / A / alpha Segmentation Supervised Wishart H / A / alpha Segmentation Batch Process Speckle Filtering H / A / alpha Decomposition Unsupervised Wishart H / A / alpha Segmentation BMP 8 / 24 bits RGB

79 PROCESS DATA Environment Import Data Display Process Data

80 PROCESS DATA

81 PROCESS DATA

82 [T3] ELEMENTS DATADIR T3 config.txt [T3x3] Elements Txy_mod.bin Txy_db.bin Txy_pha.bin Txy_mod.bmp Txy_db.bmp Txy_pha.bmp Do it Yourself: Select some elements, set the parameters and view the corresponding BMP files (select BMP).

83 [T3] ELEMENTS T11_dB T22_dB T33_dB

84 [T3] ELEMENTS span_db T12_pha

85 PROCESSING CHAIN Configuration Data Import Data Process Data Display Input Data File QuickLook Extract Raw Data [T3] Elements Speckle Filtering Box Car Gaussian Lee Refined H / A / Alpha Decomposition Parameters Eigenvectors Parameters Eigenvalues Parameters Polarimetric Segmentation H / A / alpha Segmentation Unsupervised Wishart H / A / alpha Segmentation Supervised Wishart H / A / alpha Segmentation Batch Process Speckle Filtering H / A / alpha Decomposition Unsupervised Wishart H / A / alpha Segmentation BMP 8 / 24 bits RGB

86 PROCESS DATA

87 DECOMPOSITION PARAMETERS Do it Yourself: Select some elements, set the parameters and view the corresponding BMP files (select BMP).

88 DECOMPOSITION PARAMETERS Entropy Anisotropy Alpha

89 DECOMPOSITION PARAMETERS H (1-A) HA

90 DECOMPOSITION PARAMETERS (1 H) A (1-H) (1-A)

91 PROCESSING CHAIN Configuration Data Import Data Process Data Display Input Data File QuickLook Extract Raw Data [T3] Elements Speckle Filtering Box Car Gaussian Lee Refined H / A / Alpha Decomposition Parameters Eigenvectors Parameters Eigenvalues Parameters Polarimetric Segmentation H / A / alpha Segmentation Unsupervised Wishart H / A / alpha Segmentation Supervised Wishart H / A / alpha Segmentation Batch Process Speckle Filtering H / A / alpha Decomposition Unsupervised Wishart H / A / alpha Segmentation BMP 8 / 24 bits RGB

92 PROCESS DATA

93 H / A / alpha CLASSIFICATION Do it Yourself: Select some elements, set the parameters (Nwin = 1) and view the corresponding BMP files.

94 H / A / alpha CLASSIFICATION DATADIR config.txt [T3x3] Elements entropy.bin, anisotropy.bin, alpha.bin combination_ha.bin, combination_1mha.bin, combination_h1ma.bin, combination_1mh1ma.bin H_A_class.bin, H_Alpha_class.bin, A_Alpha_class.bin Do it Yourself: Select some elements, set the parameters (Nwin = 1) and view the corresponding BMP files. entropy.bmp, anisotropy.bmp, alpha.bmp combination_ha.bmp, combination_1mha.bmp, combination_h1ma.bmp, combination_1mh1ma.bmp H_A_class.bmp, H_Alpha_class.bmp, A_Alpha_class.bmp H_A_occurence.bmp, H_Alpha_ occurence.bmp, A_Alpha_ occurence.bmp, H_A_segmented.bmp, H_Alpha_ segmented.bmp, A_Alpha_ segmented.bmp HAlphaLambda_RGB.bmp, HAAlpha_RGB.bmp HACombinations_RGB.bmp

95 H / A / alpha CLASSIFICATION

96 H / A / alpha CLASSIFICATION Do it Yourself: Select some elements, set the parameters (Nwin = 1) and view the corresponding BMP files.

97 H / A / alpha CLASSIFICATION DATADIR config.txt [T3x3] Elements H_alpha_lambda_class1(2,3).bin, H_alpha_lambda_occurence_class1(2,3).bin, H_alpha_lambda_segmented_class1(2,3).bin, H_alpha_lambda_class.bin, Do it Yourself: Select some elements, set the parameters (Nwin = 1) and view the corresponding BMP files. H_alpha_lambda_class1(2,3).bmp, H_alpha_lambda_occurence_class1(2,3).bmp, H_alpha_lambda_segmented_class1(2,3).bmp, H_alpha_lambda_class.bmp,

98 H / A / alpha CLASSIFICATION Low λ Medium λ High λ

99 H / A / alpha CLASSIFICATION Low λ Medium λ High λ

100 H / A / alpha CLASSIFICATION

101 ENVIRONNEMENT Processing Configuration

102 Questions?

Software Tool PolSARpro v3.0

Software Tool PolSARpro v3.0 Software Tool PolSARpro v3.0 Eric POTTIER Tuesday 4 September, Lecture D2L5-2 04/09/07 Lecture D2L5 part 2 Software Tool : PolSARpro v3.0 Eric POTTIER 1 CONTEXT The initiative development of PolSARpro

More information

Eric Pottier, Laurent Ferro-Famil, Sophie Allain, Stéphane Méric. Irena Hajnsek, Kostas Papathanassiou, Alberto Moreira,

Eric Pottier, Laurent Ferro-Famil, Sophie Allain, Stéphane Méric. Irena Hajnsek, Kostas Papathanassiou, Alberto Moreira, PolSARpro v4.0 Software and ALOS-PALSAR Pol-SAR Data Processing Eric Pottier, Laurent Ferro-Famil, Sophie Allain, Stéphane Méric Shane Cloude, Irena Hajnsek, Kostas Papathanassiou, Alberto Moreira, Mark

More information

TECHNICAL SPECIFICATIONS AND ARCHITECTURE DESIGN

TECHNICAL SPECIFICATIONS AND ARCHITECTURE DESIGN POLSARPRO V4.0 TECHNICAL SPECIFICATIONS AND ARCHITECTURE DESIGN 1 INTRODUCTION This document is dedicated to a basic presentation of the PolSARpro v4.0 Software technical specifications, architecture design

More information

PolSARpro v4.03 Forest Applications

PolSARpro v4.03 Forest Applications PolSARpro v4.03 Forest Applications Laurent Ferro-Famil Lecture on polarimetric SAR Theory and applications to agriculture & vegetation Thursday 19 April, morning Pol-InSAR Tutorial Forest Application

More information

PolSARpro v4.0 Main Window

PolSARpro v4.0 Main Window PolSARpro v4.0 Main Window Figure n 1 : PolSARpro v4.0 Main Window Description: The PolSARpro v4.0 Software proposes a new interface based on a full-screen main window as shown in Figure n 1. Minimizing

More information

An Overview of the PolSARpro v3.0 Software The Educational Toolbox for Polarimetric and Interferometric Polarimetric SAR Data Processing

An Overview of the PolSARpro v3.0 Software The Educational Toolbox for Polarimetric and Interferometric Polarimetric SAR Data Processing An Overview of the PolSARpro v3.0 Software The Educational Toolbox for Polarimetric and Interferometric Polarimetric SAR Data Processing Eric Pottier, Laurent Ferro-Famil, Sophie Allain Shane Cloude, Irena

More information

Do It Yourself 8. Polarization Coherence Tomography (P.C.T) Training Course

Do It Yourself 8. Polarization Coherence Tomography (P.C.T) Training Course Do It Yourself 8 Polarization Coherence Tomography (P.C.T) Training Course 1 Objectives To provide a self taught introduction to Polarization Coherence Tomography (PCT) processing techniques to enable

More information

SNAP-Sentinel-1 in a Nutshell

SNAP-Sentinel-1 in a Nutshell SNAP-Sentinel-1 in a Nutshell Dr. Andrea Minchella 1 st ESA Advanced Training Course on Remote Sensing of the Cryosphere 13 September 2016, University of Leeds, Leeds, UK What is SNAP? Credit: SNAP The

More information

Automated feature extraction by combining polarimetric SAR and object-based image analysis for monitoring of natural resource exploitation

Automated feature extraction by combining polarimetric SAR and object-based image analysis for monitoring of natural resource exploitation DLR.de Chart 1 Automated feature extraction by combining polarimetric SAR and object-based image analysis for monitoring of natural resource exploitation Simon Plank, Alexander Mager, Elisabeth Schoepfer

More information

SNAP-Sentinel-1 in a Nutshell

SNAP-Sentinel-1 in a Nutshell SNAP-Sentinel-1 in a Nutshell Dr. Andrea Minchella 21-22/01/2016 ESA SNAP-Sentinel-1 Training Course Satellite Applications Catapult - Electron Building, Harwell, Oxfordshire What is SNAP? Credit: SNAP

More information

POLSARpro v3.0: THE VERSATILE EDUCATIONAL TOOLBOX FOR POLARIMETRIC AND INTERFEROMETRIC SAR DATA PROCESSING

POLSARpro v3.0: THE VERSATILE EDUCATIONAL TOOLBOX FOR POLARIMETRIC AND INTERFEROMETRIC SAR DATA PROCESSING POLSARpro v3.0: THE VERSATILE EDUCATIONAL TOOLBOX FOR POLARIMETRIC AND INTERFEROMETRIC SAR DATA PROCESSING Eric Pottier (1), Laurent Ferro-Famil (1), Sophie Allain (1), Shane Cloude (2), Irena Hajnsek

More information

NEST 4C-1.1: an ESA toolbox for scientific exploitation of SAR data

NEST 4C-1.1: an ESA toolbox for scientific exploitation of SAR data NEST 4C-1.1: an ESA toolbox for scientific exploitation of SAR data Andrea Minchella RSAC c/o European Space Agency ESRIN EO Science, Applications and New Technologies Department Exploitation & Services

More information

Forest Retrievals. using SAR Polarimetry. (Practical Session D3P2a)

Forest Retrievals. using SAR Polarimetry. (Practical Session D3P2a) Forest Retrievals using SAR Polarimetry (Practical Session D3P2a) Laurent FERRO-FAMIL - Eric POTTIER University of Rennes 1 Pol-InSAR Practical Forest Application PolSARpro SIM PolSARproSim is a rapid,

More information

SAR Polarimetry Workstation

SAR Polarimetry Workstation Technical Specifications SAR Polarimetry Workstation The SAR Polarimetry Workstation provides a complete set of tools and applications designed specifically for the processing and analysis of Polarimetric

More information

SAR Polarimetry Workstation

SAR Polarimetry Workstation SAR Polarimetry Workstation The PCI Geomatics SAR Polarimetry Workstation provides a complete set of tools and applications designed specifically for the processing and analysis of Polarimetric SAR (POLSAR)

More information

Processing and Analysis of ALOS/Palsar Imagery

Processing and Analysis of ALOS/Palsar Imagery Processing and Analysis of ALOS/Palsar Imagery Yrjö Rauste, Anne Lönnqvist, and Heikki Ahola Kaukokartoituspäivät 6.11.2006 NewSAR Project The newest generation of space borne SAR sensors have polarimetric

More information

Polarimetric Radar Remote Sensing

Polarimetric Radar Remote Sensing Proceedings of ISAP2007, Niigata, Japan 1A2 Polarimetric Radar Remote Sensing Yoshio Yamaguchi Department of Information Engineering, Niigata University Ikarashi 2-8050, Niigata, 950-2181, Japan yamaguch@ie.niigata-u.ac.jp

More information

CLASSIFICATION STRATEGIES FOR POLARIMETRIC SAR SEA ICE DATA

CLASSIFICATION STRATEGIES FOR POLARIMETRIC SAR SEA ICE DATA CLASSIFICATION STRATEGIES FOR POLARIMETRIC SAR SEA ICE DATA Bernd Scheuchl (), Irena Hajnsek (), Ian Cumming () () Department of Electrical and Computer Engineering, University of British Columbia 56 Main

More information

ADVANCED CONCEPTS IN POLARIMETRIC SAR IMAGE ANALYSIS A TUTORIAL REVIEW

ADVANCED CONCEPTS IN POLARIMETRIC SAR IMAGE ANALYSIS A TUTORIAL REVIEW ADVANCED CONCEPTS IN POLARIMETRIC SAR IMAGE ANALYSIS A TUTORIAL REVIEW ABSTRACT Eric POTTIER (), Jong-Sen LEE (2), Laurent FERRO-FAMIL () () : I.E.T.R UMR CNRS 664, University of Rennes Image and Remote

More information

NEST (Next ESA SAR Toolbox) 2C release demonstration

NEST (Next ESA SAR Toolbox) 2C release demonstration NEST (Next ESA SAR Toolbox) 2C release demonstration Andrea Minchella 1 July 2009 D3l1b CONTENTS - Brief introduction to the NEST project - Basic concepts 1. How accessing data: Product readers, Open Raster

More information

In addition, the image registration and geocoding functionality is also available as a separate GEO package.

In addition, the image registration and geocoding functionality is also available as a separate GEO package. GAMMA Software information: GAMMA Software supports the entire processing from SAR raw data to products such as digital elevation models, displacement maps and landuse maps. The software is grouped into

More information

INVESTIGATING THE PERFORMANCE OF SAR POLARIMETRIC FEATURES IN LAND-COVER CLASSIFICATION

INVESTIGATING THE PERFORMANCE OF SAR POLARIMETRIC FEATURES IN LAND-COVER CLASSIFICATION INVESTIGATING THE PERFORMANCE OF SAR POLARIMETRIC FEATURES IN LAND-COVER CLASSIFICATION Liang Gao & Yifang Ban Division of Geoinformatics, Royal Institute of Technology (KTH) Drottning Kristinas väg 30,

More information

Synthetic Aperture Radar (SAR) Polarimetry for Wetland Mapping & Change Detection

Synthetic Aperture Radar (SAR) Polarimetry for Wetland Mapping & Change Detection Synthetic Aperture Radar (SAR) Polarimetry for Wetland Mapping & Change Detection Jennifer M. Corcoran, M.S. Remote Sensing & Geospatial Analysis Laboratory Natural Resource Science & Management PhD Program

More information

ADVANCED CONCEPTS IN POLARIMETRY PART 2 (Polarimetric Target Classification) 1 INTRODUCTION

ADVANCED CONCEPTS IN POLARIMETRY PART 2 (Polarimetric Target Classification) 1 INTRODUCTION ADVANCED CONCEPTS IN POLARIMETRY PART 2 (Polarimetric Target Classification) Eric POTTIER (1), Jong-Sen LEE (2), Laurent FERRO-FAMIL (1) (1) I.E.T.R UMR CNRS 6164 University of Rennes1 Image and Remote

More information

Assessment of Polarimetric and Spatial Features for Built-up Mapping using ALOS PALSAR Polarimetric SAR Data

Assessment of Polarimetric and Spatial Features for Built-up Mapping using ALOS PALSAR Polarimetric SAR Data Assessment of Polarimetric and patial Features for Built-up Mapping using ALO PALAR Polarimetric AR Data hucheng YOU, China Key words: ALO PALAR, support vector machine, random forest, built-up mapping

More information

ADVANCED CONCEPTS IN POLARIMETRY PART 2 (Polarimetric Target Classification) 1 INTRODUCTION

ADVANCED CONCEPTS IN POLARIMETRY PART 2 (Polarimetric Target Classification) 1 INTRODUCTION ADVANCED CONCEPTS IN POLARIMETRY PART 2 (Polarimetric Target Classification) Eric POTTIER (1), Jong-Sen LEE (2), Laurent FERRO-FAMIL (1) (1) I.E.T.R UMR CNRS 6164 University of Rennes1 Image and Remote

More information

Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance

Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance 1 Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance Debanshu Ratha Student Member, IEEE, Avik Bhattacharya, Senior Member, IEEE arxiv:1712.00427v1

More information

CLASSIFICATION OF EARTH TERRAIN COVERS USING THE MODIFIED FOUR- COMPONENT SCATTERING POWER DECOMPOSITION,

CLASSIFICATION OF EARTH TERRAIN COVERS USING THE MODIFIED FOUR- COMPONENT SCATTERING POWER DECOMPOSITION, CLASSIFICATION OF EARTH TERRAIN COVERS USING THE MODIFIED FOUR- COMPONENT SCATTERING POWER DECOMPOSITION, Boularbah Souissi (1), Mounira Ouarzeddine (1),, Aichouche Belhadj-Aissa (1) USTHB, F.E.I, BP N

More information

ENVI Tutorial: Basic SAR Processing and Analysis

ENVI Tutorial: Basic SAR Processing and Analysis ENVI Tutorial: Basic SAR Processing and Analysis Table of Contents OVERVIEW OF THIS TUTORIAL...2 Background...2 SINGLE-BAND SAR PROCESSING...3 Read and Display RADARSAT CEOS Data...3 Review CEOS Header...3

More information

SYNTHETIC aperture radar (SAR) is a remote sensing

SYNTHETIC aperture radar (SAR) is a remote sensing IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Integrating Color Features in Polarimetric SAR Image Classification Stefan Uhlmann, Student Member, IEEE, and Serkan Kiranyaz Abstract Polarimetric

More information

NEST: an ESA toolbox for scientific exploitation of SAR data

NEST: an ESA toolbox for scientific exploitation of SAR data NEST: an ESA toolbox for scientific exploitation of SAR data M.Engdahl (ESA-ESRIN), A. Minchella (RSAC c/o ESA), P. Marinkovic (Ppo.Labs), L. Veci (Array Systems Computing) 26/07/2012 IGARSS 2012 Munich

More information

SARscape. Table of Contents. Preface 1. Overview 3. Basic Module 5. Focusing Module 11. Gamma and Gaussian Filtering Module 11

SARscape. Table of Contents. Preface 1. Overview 3. Basic Module 5. Focusing Module 11. Gamma and Gaussian Filtering Module 11 Table of Contents Preface 1 Overview 3 Basic Module 5 Focusing Module 11 Gamma and Gaussian Filtering Module 11 Interferometry Module 13 ScanSAR Interferometry Module 18 Polarimetry and Polarimetric Interferometry

More information

ENVI Classic Tutorial: Basic SAR Processing and Analysis

ENVI Classic Tutorial: Basic SAR Processing and Analysis ENVI Classic Tutorial: Basic SAR Processing and Analysis Basic SAR Processing and Analysis 2 Files Used in this Tutorial 2 Background 2 Single-Band SAR Processing 3 Read and Display RADARSAT CEOS Data

More information

Interferometric processing. Rüdiger Gens

Interferometric processing. Rüdiger Gens Rüdiger Gens Why InSAR processing? extracting three-dimensional information out of a radar image pair covering the same area digital elevation model change detection 2 Processing chain 3 Processing chain

More information

An Improved Classification Scheme with Adaptive Region Growing and Wishart Classification Algorithm for Digital Images

An Improved Classification Scheme with Adaptive Region Growing and Wishart Classification Algorithm for Digital Images An Improved Classification Scheme with Adaptive Region Growing and Wishart Classification Algorithm for Digital Images Jun Chen 1 *, Peijun Du 2, Kun Tan 1, Borjer T.H. 3 1 Jiangsu Key Laboratory of Resources

More information

FOREST STRUCTURE ESTIMATION USING SPACE BORNE POLARIMETRIC RADAR: AN ALOS-PALSAR CASE STUDY

FOREST STRUCTURE ESTIMATION USING SPACE BORNE POLARIMETRIC RADAR: AN ALOS-PALSAR CASE STUDY FOREST STRUCTURE ESTIMATION USING SPACE BORNE POLARIMETRIC RADAR: AN ALOS-PALSAR CASE STUDY S. Cloude (1) E. Chen (2), Z. Li (2), X. Tian (2), Y. Pang (2), S. Li (2) E. Pottier (3), L. Ferro-Famil (3),

More information

A Hybrid Entropy Decomposition and Support Vector Machine Method for Agricultural Crop Type Classification

A Hybrid Entropy Decomposition and Support Vector Machine Method for Agricultural Crop Type Classification PIERS ONLINE, VOL. 3, NO. 5, 2007 620 A Hybrid Entropy Decomposition and Support Vector Machine Method for Agricultural Crop Type Classification Chue-Poh Tan 1, Hong-Tat Ewe 2, and Hean-Teik Chuah 1 1

More information

Polarimetric SAR Image Classification Using Radial Basis Function Neural Network

Polarimetric SAR Image Classification Using Radial Basis Function Neural Network PIERS ONLINE, VOL. 6, NO. 5, 2010 470 Polarimetric SAR Image Classification Using Radial Basis Function Neural Network Turker Ince Izmir University of Economics, Izmir, Turkey Abstract This paper presents

More information

Ice surface velocities using SAR

Ice surface velocities using SAR Ice surface velocities using SAR Thomas Schellenberger, PhD ESA Cryosphere Remote Sensing Training Course 2018 UNIS Longyearbyen, Svalbard 12 th June 2018 thomas.schellenberger@geo.uio.no Outline Data

More information

Hydrological network detection for SWOT data. S. Lobry, F. Cao, R. Fjortoft, JM Nicolas, F. Tupin

Hydrological network detection for SWOT data. S. Lobry, F. Cao, R. Fjortoft, JM Nicolas, F. Tupin Hydrological network detection for SWOT data S. Lobry, F. Cao, R. Fjortoft, JM Nicolas, F. Tupin IRS SPU avril 2016 SWOT mission Large water bodies detection Fine network detection Further works page 1

More information

Exploiting the High Dimensionality of Polarimetric Interferometric Synthetic Aperture Radar Observations

Exploiting the High Dimensionality of Polarimetric Interferometric Synthetic Aperture Radar Observations Exploiting the High Dimensionality of Polarimetric Interferometric Synthetic Aperture Radar Observations Robert Riley rriley@sandia.gov R. Derek West rdwest@sandia.gov SAND2017 11133 C This work was supported

More information

Signal Processing Laboratory

Signal Processing Laboratory C.S.L Liege Science Park Avenue du Pré-Aily B-4031 ANGLEUR Belgium Tel: +32.4.382.46.00 Fax: +32.4.367.56.13 Signal Processing Laboratory Anne Orban VITO June 16, 2011 C. Barbier : the team Remote Sensing

More information

Do It Yourself 2. Representations of polarimetric information

Do It Yourself 2. Representations of polarimetric information Do It Yourself 2 Representations of polarimetric information The objectives of this second Do It Yourself concern the representation of the polarimetric properties of scatterers or media. 1. COLOR CODED

More information

SAR Interferometry. Dr. Rudi Gens. Alaska SAR Facility

SAR Interferometry. Dr. Rudi Gens. Alaska SAR Facility SAR Interferometry Dr. Rudi Gens Alaska SAR Facility 2 Outline! Relevant terms! Geometry! What does InSAR do?! Why does InSAR work?! Processing chain " Data sets " Coregistration " Interferogram generation

More information

Orthorectifying ALOS PALSAR. Quick Guide

Orthorectifying ALOS PALSAR. Quick Guide Orthorectifying ALOS PALSAR Quick Guide Copyright Notice This publication is a copyrighted work owned by: PCI Geomatics 50 West Wilmot Street Richmond Hill, Ontario Canada L4B 1M5 www.pcigeomatics.com

More information

AN IMPROVED SAR RADIOMETRIC TERRAIN COR- RECTION METHOD AND ITS APPLICATION IN PO- LARIMETRIC SAR TERRAIN EFFECT REDUCTION

AN IMPROVED SAR RADIOMETRIC TERRAIN COR- RECTION METHOD AND ITS APPLICATION IN PO- LARIMETRIC SAR TERRAIN EFFECT REDUCTION Progress In Electromagnetics Research B, Vol. 54, 107 128, 2013 AN IMPROVED SAR RADIOMETRIC TERRAIN COR- RECTION METHOD AND ITS APPLICATION IN PO- LARIMETRIC SAR TERRAIN EFFECT REDUCTION Peng Wang 1, 2,

More information

Preliminary Results of Polarimetric Characteristics for C-band Quad-Polarization GB-SAR Images Using H/A/a Polarimetric Decomposition Theorem

Preliminary Results of Polarimetric Characteristics for C-band Quad-Polarization GB-SAR Images Using H/A/a Polarimetric Decomposition Theorem Korean Journal of Remote Sensing, Vol.25, No.6, 2009, pp.531~546 Preliminary Results of Polarimetric Characteristics for C-band Quad-Polarization GB-SAR Images Using H/A/a Polarimetric Decomposition Theorem

More information

A knowledge based classification method for polarimetric SAR data

A knowledge based classification method for polarimetric SAR data A knowledge based classification method for polarimetric AR data M. Dabboor*, V. Karathanassi Laboratory of Remote ensing, chool of Rural and urveying Engineering, National Technical University of Athens,

More information

Study on. Development of General Radar Polarimetry Methods for Fully Polarimetric Synthetic Aperture Radar Data Utilization to Monitor the Earth

Study on. Development of General Radar Polarimetry Methods for Fully Polarimetric Synthetic Aperture Radar Data Utilization to Monitor the Earth Study on Development of General Radar Polarimetry Methods for Fully Polarimetric Synthetic Aperture Radar Data Utilization to Monitor the Earth Gulab Singh Development of General Radar Polarimetry Methods

More information

FIRST RESULTS OF THE ALOS PALSAR VERIFICATION PROCESSOR

FIRST RESULTS OF THE ALOS PALSAR VERIFICATION PROCESSOR FIRST RESULTS OF THE ALOS PALSAR VERIFICATION PROCESSOR P. Pasquali (1), A. Monti Guarnieri (2), D. D Aria (3), L. Costa (3), D. Small (4), M. Jehle (4) and B. Rosich (5) (1) sarmap s.a., Cascine di Barico,

More information

CLASSIFICATION AND CHANGE DETECTION

CLASSIFICATION AND CHANGE DETECTION IMAGE ANALYSIS, CLASSIFICATION AND CHANGE DETECTION IN REMOTE SENSING With Algorithms for ENVI/IDL and Python THIRD EDITION Morton J. Canty CRC Press Taylor & Francis Group Boca Raton London NewYork CRC

More information

Utilization of four-component scattering power decomposition method for glaciated terrain classification

Utilization of four-component scattering power decomposition method for glaciated terrain classification Utilization of four-component scattering power decomposition method for glaciated terrain classification Gulab Singh, Y. Yamaguchi, and S-E. Park Graduate School of Science and Technology, Niigata University,

More information

ALOS PALSAR VERIFICATION PROCESSOR

ALOS PALSAR VERIFICATION PROCESSOR ALOS PALSAR VERIFICATION PROCESSOR P. Pasquali (1), A. Monti Guarnieri (2), D. D Aria (3), L. Costa (3), D. Small (4), M. Jehle (4) and B. Rosich (5) (1) sarmap s.a., Cascine di Barico, 6989 Purasca, Switzerland,

More information

Mapping Regional Inundation with Spaceborne L-band SAR

Mapping Regional Inundation with Spaceborne L-band SAR Making remote-sensing data accessible since 1991 Mapping Regional Inundation with Spaceborne L-band SAR Using open-source software such as QGIS and GIMP Adapted from Bruce Chapman 1, Rick Guritz 2, and

More information

Mission Status and Data Availability: TanDEM-X

Mission Status and Data Availability: TanDEM-X Mission Status and Data Availability: TanDEM-X Irena Hajnsek, Thomas Busche, Alberto Moreira & TanDEM-X Team Microwaves and Radar Institute, German Aerospace Center irena.hajnsek@dlr.de 26-Jan-2009 Outline

More information

HIERARCHICAL CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON STATISTICAL REGION MERGING

HIERARCHICAL CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON STATISTICAL REGION MERGING HIERARCHICAL CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON STATISTICAL REGION MERGING F. Lang a*, J. Yang a, L. Zhao a, D. Li a a State Key Laboratory of Information Engineering in Surveying, Mapping

More information

Polarimetric synthetic aperture radar image classification using fuzzy logic in the H=α-Wishart algorithm

Polarimetric synthetic aperture radar image classification using fuzzy logic in the H=α-Wishart algorithm Polarimetric synthetic aperture radar image classification using fuzzy logic in the H=α-Wishart algorithm Teng Zhu Jie Yu Xiaojuan Li Jie Yang Polarimetric synthetic aperture radar image classification

More information

Decision Fusion of Classifiers for Multifrequency PolSAR and Optical Data Classification

Decision Fusion of Classifiers for Multifrequency PolSAR and Optical Data Classification Decision Fusion of Classifiers for Multifrequency PolSAR and Optical Data Classification N. Gökhan Kasapoğlu and Torbjørn Eltoft Dept. of Physics and Technology University of Tromsø Tromsø, Norway gokhan.kasapoglu@uit.no

More information

Four-component Scattering Power Decomposition with Rotation of Coherency Matrix

Four-component Scattering Power Decomposition with Rotation of Coherency Matrix 1 Four-component Scattering Power Decomposition with Rotation of Coherency Matrix Yoshio Yamaguchi, Fellow, IEEE, Akinobu Sato, Wolfgang Martin Boerner, Life Fellow, IEEE, Ryoichi Sato, Member, IEEE, and

More information

SAR Orthorectification and Mosaicking

SAR Orthorectification and Mosaicking White Paper SAR Orthorectification and Mosaicking John Wessels: Senior Scientist PCI Geomatics SAR Orthorectification and Mosaicking This data set was provided by Defence Research and Development Canada

More information

GAMMA Software. Introduction:

GAMMA Software. Introduction: v1.1, 1-Dec-2017 page 1 GAMMA Software Introduction: GAMMA Software supports the entire processing chain from SAR raw data to products such as digital elevation models, displacement maps and landuse maps.

More information

The Open Statistics & Probability Journal

The Open Statistics & Probability Journal Send Orders for Reprints to reprints@benthamscience.ae 10 The Open Statistics & Probability Journal, 2016, 7, 10-19 The Open Statistics & Probability Journal Content list available at: www.benthamopen.com/tospj/

More information

InSAR DEM; why it is better?

InSAR DEM; why it is better? InSAR DEM; why it is better? What is a DEM? Digital Elevation Model (DEM) refers to the process of demonstrating terrain elevation characteristics in 3-D space, but very often it specifically means the

More information

SENTINEL-1 Toolbox. SAR Basics Tutorial Issued March 2015 Updated August Luis Veci

SENTINEL-1 Toolbox. SAR Basics Tutorial Issued March 2015 Updated August Luis Veci SENTINEL-1 Toolbox SAR Basics Tutorial Issued March 2015 Updated August 2016 Luis Veci Copyright 2015 Array Systems Computing Inc. http://www.array.ca/ http://step.esa.int SAR Basics Tutorial The goal

More information

Polarimetric Hierarchical Semantic Model and Scattering Mechanism

Polarimetric Hierarchical Semantic Model and Scattering Mechanism Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification Fang Liu a,b,c, Junfei Shi a,b,c, Licheng Jiao b,c, Hongying Liu b,c, Shuyuan Yang b,c, Jie Wu a,b,c,

More information

Sang Hoon Hong (1)(2)(3) and Shimon Wdowinski (2)

Sang Hoon Hong (1)(2)(3) and Shimon Wdowinski (2) Revising vegetation scattering theories: Adding a rotated dihedral double bounce scattering to Explain cross polarimetric SAR observations over wetlands Sang Hoon Hong (1)()(3) and Shimon Wdowinski ()

More information

Polarimetric-Spatial Classification of SAR Images Based on the Fusion of Multiple Classifiers

Polarimetric-Spatial Classification of SAR Images Based on the Fusion of Multiple Classifiers IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 1 Polarimetric-Spatial Classification of SAR Images Based on the Fusion of Multiple Classifiers Xiaoshuang Ma, Huanfeng

More information

Oil spill detection from SAR image using SVM based classification

Oil spill detection from SAR image using SVM based classification Oil spill detection from SAR image using SVM based classification A. A. Matkan, M. Hajeb, Z. Azarakhsh* Remote Sensing & GIS Department, Shahid Beheshti University, Evin, Tehran, Iran. (a-matkan, M_Hajeb)@sbu.ac.ir,

More information

Differential Interferometry and Geocoding Software DIFF&GEO

Differential Interferometry and Geocoding Software DIFF&GEO Documentation User s Guide Differential Interferometry and Geocoding Software DIFF&GEO Geocoding and Image Registration Version 1.6 May 2011 GAMMA Remote Sensing AG, Worbstrasse 225, CH-3073 Gümligen,

More information

Polarimetric Decomposition of SAR Data for Forest Structure Assessment

Polarimetric Decomposition of SAR Data for Forest Structure Assessment Polarimetric Decomposition of SAR Data for Forest Structure Assessment Master s Thesis in the Master Degree Program, Wireless, Photonics and Space Engineering SHRINIWAS AGASHE Department of Earth and Space

More information

MULTI-TEMPORAL SAR DATA FILTERING FOR LAND APPLICATIONS. I i is the estimate of the local mean backscattering

MULTI-TEMPORAL SAR DATA FILTERING FOR LAND APPLICATIONS. I i is the estimate of the local mean backscattering MULTI-TEMPORAL SAR DATA FILTERING FOR LAND APPLICATIONS Urs Wegmüller (1), Maurizio Santoro (1), and Charles Werner (1) (1) Gamma Remote Sensing AG, Worbstrasse 225, CH-3073 Gümligen, Switzerland http://www.gamma-rs.ch,

More information

NON-LOCAL MEANS FILTER FOR POLARIMETRIC SAR SPECKLE REDUCTION -EXPERIMENTS USING TERRASAR-X DATA

NON-LOCAL MEANS FILTER FOR POLARIMETRIC SAR SPECKLE REDUCTION -EXPERIMENTS USING TERRASAR-X DATA NON-LOCAL MEAN FILTER FOR POLARIMETRIC AR PECKLE REDUCTION -EXPERIMENT UING TERRAAR-X DATA J. Hu a, R. Guo b, X. Zhu a, b, *, G. Baier b,y Wang a a Helmholtz Young Inverstigators Group ipeo, Technische

More information

INSAR DEMS; ACHIEVEMENTS AND BENEFITS

INSAR DEMS; ACHIEVEMENTS AND BENEFITS INSAR DEMS; ACHIEVEMENTS AND BENEFITS Parviz TARIKHI, Iran Key words: remote sensing, InSAR, DEM, deformation measurement, Iran SUMMARY InSAR is a radar technique for combining synthetic aperture radar

More information

SAR IMAGE PROCESSING FOR CROP MONITORING

SAR IMAGE PROCESSING FOR CROP MONITORING SAR IMAGE PROCESSING FOR CROP MONITORING Anne Orban, Dominique Derauw, and Christian Barbier Centre Spatial de Liège Université de Liège cbarbier@ulg.ac.be Agriculture and Vegetation at a Local Scale Habay-La-Neuve,

More information

ENVI 5 & E3De. The Next Generation of Image Analysis

ENVI 5 & E3De. The Next Generation of Image Analysis ENVI 5 & E3De The Next Generation of Image Analysis The information contained in this document pertains to software products and services that are subject to the controls of the Export Administration Regulations

More information

WEAKLY SUPERVISED POLARIMETRIC SAR IMAGE CLASSIFICATION WITH MULTI-MODAL MARKOV ASPECT MODEL

WEAKLY SUPERVISED POLARIMETRIC SAR IMAGE CLASSIFICATION WITH MULTI-MODAL MARKOV ASPECT MODEL WEAKLY SUPERVISED POLARIMETRIC SAR IMAGE CLASSIFICATION WITH MULTI-MODAL MARKOV ASPECT MODEL Wen Yang, Dengxin Dai, Jun Wu, Chu He School of Electronic Information, Wuhan University LuoJia Hill, Wuhan

More information

CLASSIFICATION OF FULLY POLARIMETRIC SAR SATELLITE DATA USING GENETIC ALGORITHM AND NEURAL NETWORKS

CLASSIFICATION OF FULLY POLARIMETRIC SAR SATELLITE DATA USING GENETIC ALGORITHM AND NEURAL NETWORKS CLASSIFICATION OF FULLY POLARIMETRIC SAR SATELLITE DATA USING GENETIC ALGORITHM AND NEURAL NETWORKS Iman Entezari 1, Babak Mansouri 2, and Mahdi Motagh 1 1 Department of Geomatics Engineering, College

More information

MULTITEMPORAL AND/OR POLARIMETRIC SAR CHARACTERIZATION OF URBAN AREAS *

MULTITEMPORAL AND/OR POLARIMETRIC SAR CHARACTERIZATION OF URBAN AREAS * MULTITEMPORAL AND/OR POLARIMETRIC SAR CHARACTERIZATION OF URBAN AREAS * Fabio Dell Acqua (1), Paolo Gamba (1) (1) Department of Electronics, University of Pavia Via Ferrata, 1,I-27100 Pavia, ITALY e-mail:

More information

Onshore remote sensing applications: an overview

Onshore remote sensing applications: an overview Onshore remote sensing applications: an overview Dr. Richard Teeuw and Dr. Malcolm Whitworth School of Earth and Environmental Sciences, University of Portsmouth, UK. Overview Presentation on the applications

More information

NEST: the ESA toolbox for scientific exploitation of SAR data

NEST: the ESA toolbox for scientific exploitation of SAR data NEST: the ESA toolbox for scientific exploitation of SAR data Andrea Minchella (1), L. Veci (2), Marcus Engdahl (3) and Petar Marinkovic (4) (1) RSAC c/o European Space Agency, ESA-ESRIN (2) Array Systems

More information

GIS. PDF created with pdffactory Pro trial version ... SPIRIT. *

GIS. PDF created with pdffactory Pro trial version  ... SPIRIT. * Vol8, No 4, Winter 07 Iranian Remote Sensing & - * // // RVOG /4 / 7/4 99754 * 0887708 Email aghababaee@mailkntuacir PDF created with pdffactory Pro trial version wwwpdffactorycom Treuhaft and Cloude,

More information

SCHATTEN MATRIX NORM BASED POLARIMETRIC SAR DATA REGULARIZATION. APPLICATION OVER CHAMONIX MONT-BLANC

SCHATTEN MATRIX NORM BASED POLARIMETRIC SAR DATA REGULARIZATION. APPLICATION OVER CHAMONIX MONT-BLANC SCHATTEN MATRIX NORM BASED POLARIMETRIC SAR DATA REGULARIZATION. APPLICATION OVER CHAMONIX MONT-BLANC Thu Trang Le, Abdourrahmane M. Atto, Emmanuel Trouvé To cite this version: Thu Trang Le, Abdourrahmane

More information

Remote Sensing Introduction to the course

Remote Sensing Introduction to the course Remote Sensing Introduction to the course Remote Sensing (Prof. L. Biagi) Exploitation of remotely assessed data for information retrieval Data: Digital images of the Earth, obtained by sensors recording

More information

TanDEM-X Interferometric Processing Chain and SAR Products. Thomas Fritz H. Breit, M. Eineder, M. Lachaise & ITP Development Team

TanDEM-X Interferometric Processing Chain and SAR Products. Thomas Fritz H. Breit, M. Eineder, M. Lachaise & ITP Development Team TanDEM-X Interferometric Processing Chain and SAR Products Thomas Fritz H. Breit, M. Eineder, M. Lachaise & ITP Development Team TanDEM-X Science Meeting Nov. 2008 From Acquisitions to Products - The TanDEM-X

More information

Land Cover Classification in SubArctic Regions Using Fully Polarimetric RADARSAT-2 Data

Land Cover Classification in SubArctic Regions Using Fully Polarimetric RADARSAT-2 Data remote sensing Article Land Cover Classification in SubArctic Regions Using Fully Polarimetric RADARSAT-2 Data Yannick Duguay 1,2,,, Monique Bernier 1,2,, Esther Lévesque 2,3 and Florent Domine 2,4 1 Centre

More information

K&C Phase 3. Earth Observation Research Group (EO), CSIR, PO Box 395, Pretoria, 0001, b

K&C Phase 3. Earth Observation Research Group (EO), CSIR, PO Box 395, Pretoria, 0001,  b WOODY STRUCTURAL MODELLING IN SOUTHERN AFRICAN SAVANNAHS USING MULTI-FREQUENCY SAR AND OPTICAL INTEGRATED DATA APPROACHES: ONE STEP TO REGIONAL MAPPING K&C Phase 3 Renaud Mathieu a, Laven Naidoo a, Konrad

More information

Improving wide-area DEMs through data fusion - chances and limits

Improving wide-area DEMs through data fusion - chances and limits Improving wide-area DEMs through data fusion - chances and limits Konrad Schindler Photogrammetry and Remote Sensing, ETH Zürich How to get a DEM for your job? for small projects (or rich people) contract

More information

4-Component Scattering Power Decomposition with Phase Rotation of Coherency Matrix

4-Component Scattering Power Decomposition with Phase Rotation of Coherency Matrix 4-Component Scattering Power Decomposition with Phase Rotation o Coherency Matrix Gulab Singh*, Yoshio Yamaguchi and S.-E. Park Niigata University *g.singh@wave.ie.niigata-u.ac.jp Outline Introduction:

More information

Study of Binary Partition Tree Pruning Techniques for Polarimetric SAR images

Study of Binary Partition Tree Pruning Techniques for Polarimetric SAR images Study of Binary Partition Tree Pruning Techniques for Polarimetric SAR images Philippe Salembier Technical University of Catalonia, Barcelona, Spain Abstract. This paper investigates

More information

The Radar Ortho Suite is an add-on to Geomatica. It requires Geomatica Core or Geomatica Prime as a pre-requisite.

The Radar Ortho Suite is an add-on to Geomatica. It requires Geomatica Core or Geomatica Prime as a pre-requisite. RADAR ORTHO SUITE The Radar Ortho Suite includes rigorous and rational function models developed to compensate for distortions and produce orthorectified radar images. Distortions caused by the platform

More information

Coherence Based Polarimetric SAR Tomography

Coherence Based Polarimetric SAR Tomography I J C T A, 9(3), 2016, pp. 133-141 International Science Press Coherence Based Polarimetric SAR Tomography P. Saranya*, and K. Vani** Abstract: Synthetic Aperture Radar (SAR) three dimensional image provides

More information

EVALUATION OF DIFFERENT DIGITAL ELEVATION MODELS

EVALUATION OF DIFFERENT DIGITAL ELEVATION MODELS Section Name EVALUATION OF DIFFERENT DIGITAL ELEVATION MODELS Assistant Nikola Kranjčić 1, PhD Student Assistant Denis Težak 1, PhD Student Assoc. Prof. Milan Rezo 1, PhD 1 Faculty of Geotechnical Engineering,

More information

ENVI. Get the Information You Need from Imagery.

ENVI. Get the Information You Need from Imagery. Visual Information Solutions ENVI. Get the Information You Need from Imagery. ENVI is the premier software solution to quickly, easily, and accurately extract information from geospatial imagery. Easy

More information

Classifying UAVSAR Polarimetric Synthetic Aperture Radar (PolSAR) Imagery Using Target Decomposition Features

Classifying UAVSAR Polarimetric Synthetic Aperture Radar (PolSAR) Imagery Using Target Decomposition Features Proceedings Classifying UAVSAR Polarimetric Synthetic Aperture Radar (PolSAR) Imagery Using Target Decomposition Features Ghazaleh Alijani 1, *, Mahdi Hasanlou 2 and Zahra Azizi 1 1 Department of GIS/RS,

More information

Practical work on SAR Interferometry Data Processing using DORIS Software Y.S. Rao CSRE, IIT Bombay

Practical work on SAR Interferometry Data Processing using DORIS Software Y.S. Rao CSRE, IIT Bombay Practical work on SAR Interferometry Data Processing using DORIS Software Y.S. Rao CSRE, IIT Bombay ysrao@csre.iitb.ac.in Tools : DORIS (Delft Object-Oriented Radar Interferometric Software) is freely

More information

Ship Detection and Motion Parameter Estimation with TanDEM-X in Large Along-Track Baseline Configuration

Ship Detection and Motion Parameter Estimation with TanDEM-X in Large Along-Track Baseline Configuration Ship Detection and Motion Parameter Estimation with TanDEM-X in Large Along-Track Baseline Configuration SEASAR 2012 Workshop, 20.06.2012 Stefan V. Baumgartner, Gerhard Krieger Microwaves and Radar Institute,

More information

Flood detection using radar data Basic principles

Flood detection using radar data Basic principles Flood detection using radar data Basic principles André Twele, Sandro Martinis and Jan-Peter Mund German Remote Sensing Data Center (DFD) 1 Overview Introduction Basic principles of flood detection using

More information

Multitemporal Spaceborne Polarimetric SAR Data for Urban Land Cover Mapping

Multitemporal Spaceborne Polarimetric SAR Data for Urban Land Cover Mapping Multitemporal Spaceborne Polarimetric SAR Data for Urban Land Cover Mapping Xin Niu Doctoral Thesis October, 2012 Xin Niu TRITA SoM 2012-18 Xin Niu 2012 Doctoral Thesis Royal Institute of Technology (KTH)

More information

Chapter 5. Paper 3: Automated Non-Gaussian Clustering of Polarimetric Synthetic Aperture Radar Images

Chapter 5. Paper 3: Automated Non-Gaussian Clustering of Polarimetric Synthetic Aperture Radar Images Chapter 5 Paper 3: Automated Non-Gaussian Clustering of Polarimetric Synthetic Aperture Radar Images 53 54 1 Automated Non-Gaussian Clustering of Polarimetric Synthetic Aperture Radar Images Anthony P.

More information

Disaster Monitoring by Fully Polarimetric SAR Data Acquired with ALOS-PALSAR

Disaster Monitoring by Fully Polarimetric SAR Data Acquired with ALOS-PALSAR 1 Disaster Monitoring by Fully Polarimetric SAR Data Acquired with ALOS-PALSAR Yoshio Yamaguchi, Fellow, IEEE Abstract This paper presents scattering power decomposition images of fully polarimetric synthetic

More information