Quality Report Generated with Postflight Terra 3D version

Transcription

1 Quality Report Generated with Postflight Terra 3D version Important: Click on the different icons for: Help to analyze the results in the Quality Report Additional information about the sections Click here for additional tips to analyze the Quality Report Summary Project 2015_12_21_ave_fedrpus Processed :58:54 Average Ground Sampling Distance (GSD) 3.69 cm / 1.45 in Quality Check Images Dataset Camera Optimization Matching Georeferencing median of keypoints per image 373 out of 373 images calibrated (100%), all images enabled 0.33% relative difference between initial and optimized internal camera parameters median of matches per calibrated image yes, 4 GCPs (4 3D), mean RMS error = m Calibration Details Number of Calibrated Images 373 out of 373 Number of Geolocated Images 373 out of 373 Initial Image Positions Figure 2: Top view of the initial image position. The green line follows the position of the images in time starting from the large blue dot. Computed Image/GCPs/Manual Tie Points Positions

2 Figure 3: Offset between initial (blue dots) and computed (green dots) image positions as well as the offset between the GCPs initial positions (blue crosses) and their computed positions (green crosses) in the top-view (XY plane), front-view (XZ plane), and side-view (YZ plane). Bundle Block Adjustment Details Number of 2D Keypoint Observations for Bundle Block Adjustment Number of 3D Points for Bundle Block Adjustment Mean Reprojection Error [pixels] Internal Camera Parameters CanonIXUS127HS_4.3_4608x3456 (RGB). Sensor Dimensions: [mm] x [mm] EXIF ID: CanonIXUS127HS_4.3_4608x3456 Focal Length Principal Point x Principal Point y R1 R2 R3 T1 T2 Initial Values [pixel] [mm] [pixel] [mm] [pixel] [mm] Optimized Values [pixel] [mm] [pixel] [mm] [pixel] [mm]

3 The number of Automatic Tie Points (ATPs) per pixel averaged over all images of the camera model is color coded between black and white. White indicates that, in average, more than 16 ATPs are extracted at this pixel location. Black indicates that, in average, 0 ATP has been extracted at this pixel location. Click on the image to the see the average direction and magnitude of the reprojection error for each pixel. Note that the vectors are scaled for better visualization. 2D Keypoints Table Number of 2D Keypoints per Image Number of Matched 2D Keypoints per Image Median Min Max Mean D Points from 2D Keypoint Matches Number of 3D Points Observed In 2 Images In 3 Images In 4 Images In 5 Images In 6 Images In 7 Images 9361 In 8 Images 6440 In 9 Images 4586 In 10 Images 3276 In 11 Images 2582 In 12 Images 1951 In 13 Images 1572 In 14 Images 1341 In 15 Images 1062 In 16 Images 915 In 17 Images 707 In 18 Images 619 In 19 Images 464 In 20 Images 393 In 21 Images 269 In 22 Images 228 In 23 Images 155 In 24 Images 130 In 25 Images 90 In 26 Images 57 In 27 Images 43 In 28 Images 16 In 29 Images 14 In 30 Images 6 In 31 Images 5 2D Keypoint Matches

4 Number of matches Figure 5: Top view of the image computed positions with a link between matching images. The darkness of the links indicates the number of matched 2D keypoints between the images. Bright links indicate weak links and require manual tie points or more images. Geolocation Details Ground Control Points GCP Name Accuracy XY/Z [m] Error X [m] Error Y [m] Error Z [m] Projection Error [pixel] Verified/Marked 1501 (3D) 0.020/ / (3D) 0.020/ / (3D) 0.020/ / (3D) 0.020/ / 29 Mean [m] Sigma [m] RMS Error [m] Localisation accuracy per GCP and mean errors in the three coordinate directions. The last column counts the number of calibrated images where the GCP has been automatically verified vs. manually marked. Absolute Geolocation Variance Min Error [m] Max Error [m] Geolocation Error X [%] Geolocation Error Y [%] Geolocation Error Z [%] Mean [m] Sigma [m] RMS Error [m]

5 Min Error and Max Error represent geolocation error intervals between -1.5 and 1.5 times the maximum accuracy of all the images. Columns X, Y, Z show the percentage of images with geolocation errors within the predefined error intervals. The geolocation error is the difference between the intial and computed image positions. Note that the image geolocation errors do not correspond to the accuracy of the observed 3D points. Geolocation Bias X Y Z Translation [m] Bias between image initial and computed geolocation given in output coordinate system. Relative Geolocation Variance Relative Geolocation Error Images X [%] Images Y [%] Images Z [%] [-1.00, 1.00] [-2.00, 2.00] [-3.00, 3.00] Mean of Geolocation Accuracy [m] Sigma of Geolocation Accuracy [m] Images X, Y, Z represent the percentage of images with a relative geolocation error in X, Y, Z. Geolocation Orientational Variance RMS [degree] Omega Phi Kappa Geolocation RMS error of the orientation angles given by the difference between the initial and computed image orientation angles. Georeference Verification GCP Name: 1501 ( , , ) IMG_3713.JPG IMG_3714.JPG IMG_3735.JPG IMG_4055.JPG IMG_4056.JPG IMG_3715.JPG IMG_4025.JPG IMG_4026.JPG IMG_4054.JPG IMG_4046.JPG IMG_3734.JPG IMG_3704.JPG IMG_4045.JPG IMG_4016.JPG IMG_3766.JPG IMG_4014.JPG IMG_3995.JPG

6 GCP Name: 1502 ( , , ) IMG_3759.JPG IMG_3760.JPG IMG_3783.JPG IMG_3784.JPG IMG_3752.JPG IMG_4009.JPG IMG_4001.JPG IMG_4002.JPG IMG_4008.JPG IMG_4032.JPG IMG_4000.JPG IMG_3979.JPG GCP 1502 was not marked on the following images (only up to 6 images shown). If the circle is too far away from the initial GCP position, also measure the GCP in these images to improve the accuracy. IMG_3728.JPG IMG_3750.JPG IMG_3782.JPG IMG_3790.JPG IMG_3792.JPG IMG_3813.JPG GCP Name: 1503 ( , , ) IMG_3822.JPG IMG_3823.JPG IMG_3839.JPG IMG_3840.JPG IMG_3841.JPG IMG_3919.JPG IMG_3920.JPG IMG_3936.JPG IMG_3854.JPG IMG_3949.JPG IMG_3853.JPG IMG_3906.JPG IMG_3935.JPG IMG_3918.JPG IMG_3950.JPG

7 GCP 1503 was not marked on the following images (only up to 6 images shown). If the circle is too far away from the initial GCP position, also measure the GCP in these images to improve the accuracy. IMG_3809.JPG IMG_3821.JPG IMG_3852.JPG IMG_3856.JPG IMG_3874.JPG IMG_3887.JPG GCP Name: 1504 ( , , ) IMG_3805.JPG IMG_3806.JPG IMG_3827.JPG IMG_3776.JPG IMG_3775.JPG IMG_3986.JPG IMG_3767.JPG IMG_3797.JPG IMG_3798.JPG IMG_3994.JPG IMG_3985.JPG IMG_3993.JPG IMG_3962.JPG IMG_3963.JPG IMG_3774.JPG IMG_3984.JPG IMG_4017.JPG IMG_3796.JPG IMG_3954.JPG IMG_3955.JPG IMG_3765.JPG IMG_3956.JPG IMG_3953.JPG IMG_3961.JPG IMG_4015.JPG IMG_3932.JPG IMG_4024.JPG IMG_3834.JPG IMG_3859.JPG Figure 7: Images in which GCPs have been marked (yellow circle) and in which their computed 3D points have been projected (green circle). A green circle outside of the yellow circle indicates either an accuracy issue or a GCP issue.

8 Processing Options Hardware Operating System Camera Model Name Image Coordinate System Ground Control Point (GCP) Coordinate System Output Coordinate System CPU: Intel(R) Core(TM) i7-3840qm 2.80GHz RAM: 32GB GPU: NVIDIA Quadro K3000M (Driver: ) Windows 8.1 Pro, 64-bit CanonIXUS127HS_4.3_4608x3456 (RGB) WGS84 S-JTSK / Krovak S-JTSK / Krovak Keypoints Image Scale Full, Image Scale: 1 Advanced: Matching Image Pairs Advanced: Matching Strategy Advanced: Keypoint Extraction Advanced: Calibration Aerial Grid or Corridor Use Geometrically Verified Matching: no Targeted Number of Keypoints: Automatic Point Cloud Densification details Calibration Method: Standard, Internal Parameters Optimization: All, External Parameters Optimization: All, Rematch: yes Processing Options Image Scale multiscale, 1/2 (Half image size, Default) Point Density Optimal Minimum Number of Matches 4 3D Textured Mesh Generation no Advanced: Matching Window Size 7x7 pixels Advanced: Image Groups group1 Advanced: Use Densification Area yes Advanced: Use Annotations yes Advanced: Limit Camera Depth Automatically no Time for Point Cloud Densification 02h:35m:07s Time for 3D Textured Mesh Generation NA Results Number of Generated Tiles 9 Number of 3D Densified Points Average Density (per m 3 ) DSM, Orthomosaic and Index Details Processing Options DSM and Orthomosaic Resolution DSM Filters DSM Generation Time for DSM Generation Time for Orthomosaic Generation 1 x GSD (3.7 [cm/pixel]) Noise Filtering: yes, Surface Smoothing: yes, Sharp yes, Method: Inverse Distance Weighting, Merge Tiles: no 23m:34s 34m:23s