Quality Report · Processing Options Hardware CPU: Intel(R) Core(TM) i7-3840QM CPU @ 2.80GHz RAM:...
Transcript of Quality Report · Processing Options Hardware CPU: Intel(R) Core(TM) i7-3840QM CPU @ 2.80GHz RAM:...
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Quality Report
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Summary
Project 2015_12_21_ave_fedrpusProcessed 2015-12-28 18:58:54Average Ground Sampling Distance (GSD) 3.69 cm / 1.45 in
Quality Check
Images median of 23061 keypoints per image
Dataset 373 out of 373 images calibrated (100%), all images enabled
Camera Optimization 0.33% relative difference between initial and optimized internal camera parameters
Matching median of 5104.99 matches per calibrated image
Georeferencing yes, 4 GCPs (4 3D), mean RMS error = 0.005 m
Calibration Details
Number of Calibrated Images 373 out of 373Number 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
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) andtheir 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 2342999Number of 3D Points for Bundle Block Adjustment 830012Mean Reprojection Error [pixels] 0.169354
Internal Camera Parameters
CanonIXUS127HS_4.3_4608x3456 (RGB). Sensor Dimensions: 6.170 [mm] x 4.628 [mm]
EXIF ID: CanonIXUS127HS_4.3_4608x3456
FocalLength
PrincipalPoint x
PrincipalPoint y R1 R2 R3 T1 T2
InitialValues
3270.924 [pixel]4.380 [mm]
2303.999 [pixel]3.085 [mm]
1728.000 [pixel]2.314 [mm] -0.049 0.059 -0.036 0.000 -0.003
OptimizedValues
3259.957 [pixel]4.365 [mm]
2279.287 [pixel]3.052 [mm]
1798.483 [pixel]2.408 [mm] -0.048 0.054 -0.033 0.004 -0.002
The number of Automatic Tie Points (ATPs) per pixel averaged over all images of the camera modelis color coded between black and white. White indicates that, in average, more than 16 ATPs areextracted at this pixel location. Black indicates that, in average, 0 ATP has been extracted at this pixellocation. Click on the image to the see the average direction and magnitude of the reprojection errorfor 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 ImageMedian 23061 5105Min 20018 822Max 60634 21297Mean 27793 6281
3D Points from 2D Keypoint Matches
Number of 3D Points ObservedIn 2 Images 564728In 3 Images 134831In 4 Images 52855In 5 Images 26210In 6 Images 15106In 7 Images 9361In 8 Images 6440In 9 Images 4586In 10 Images 3276In 11 Images 2582In 12 Images 1951In 13 Images 1572In 14 Images 1341In 15 Images 1062In 16 Images 915In 17 Images 707In 18 Images 619In 19 Images 464In 20 Images 393In 21 Images 269In 22 Images 228In 23 Images 155In 24 Images 130In 25 Images 90In 26 Images 57In 27 Images 43In 28 Images 16In 29 Images 14In 30 Images 6In 31 Images 5
2D Keypoint Matches
Number of matches25 222 444 666 888 1111 1333 1555 1777 2000
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 keypointsbetween 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/Marked1501 (3D) 0.020/ 0.020 -0.001 -0.006 -0.006 0.312 17 / 171502 (3D) 0.020/ 0.020 0.002 -0.004 0.006 0.399 12 / 121503 (3D) 0.020/ 0.020 0.006 0.003 -0.007 0.246 15 / 151504 (3D) 0.020/ 0.020 -0.007 0.006 0.006 0.425 29 / 29Mean [m] 0.000072 -0.000129 -0.000087Sigma [m] 0.004533 0.005002 0.006150RMS Error [m] 0.004534 0.005004 0.006150
Localisation accuracy per GCP and mean errors in the three coordinate directions. The last column counts the number of calibrated images where the GCP hasbeen automatically verified vs. manually marked.
Absolute Geolocation Variance
Min Error [m] Max Error [m] Geolocation Error X [%] Geolocation Error Y [%] Geolocation Error Z [%]- -20.54 0.00 0.00 0.00-20.54 -16.44 0.00 0.00 0.27-16.44 -12.33 0.00 0.00 1.34-12.33 -8.22 0.00 0.00 1.07-8.22 -4.11 0.00 0.00 5.36-4.11 0.00 48.53 51.21 44.770.00 4.11 51.47 47.99 32.714.11 8.22 0.00 0.27 8.858.22 12.33 0.00 0.54 2.1412.33 16.44 0.00 0.00 3.4916.44 20.54 0.00 0.00 0.0020.54 - 0.00 0.00 0.00Mean [m] -1.528603 -6.484766 -3.842136Sigma [m] 1.041182 1.325368 4.634583RMS Error [m] 1.849510 6.618821 6.020081
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 thepercentage 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 ZTranslation [m] -1.510163 -6.496854 -4.127236
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] 100.00 100.00 95.98[-2.00, 2.00] 100.00 100.00 100.00[-3.00, 3.00] 100.00 100.00 100.00Mean of Geolocation Accuracy [m] 8.794949 8.794949 10.671252Sigma of Geolocation Accuracy [m] 0.423526 0.423526 0.905114
Images X, Y, Z represent the percentage of images with a relative geolocation error in X, Y, Z.
Geolocation Orientational Variance RMS [degree]Omega 8.701960Phi 3.680650Kappa 7.519973
Geolocation RMS error of the orientation angles given by the difference between the initial and computed image orientation angles.
Georeference Verification
GCP Name: 1501 (-712666.135000,-1155563.032000,533.433000)
IMG_3713.JPGIMG_3714.JPGIMG_3735.JPGIMG_4055.JPGIMG_4056.JPGIMG_3715.JPGIMG_4025.JPGIMG_4026.JPGIMG_4054.JPGIMG_4046.JPGIMG_3734.JPGIMG_3704.JPGIMG_4045.JPGIMG_4016.JPGIMG_3766.JPGIMG_4014.JPGIMG_3995.JPG
GCP Name: 1502 (-712949.001000,-1155395.885000,538.426000)
IMG_3759.JPGIMG_3760.JPGIMG_3783.JPGIMG_3784.JPGIMG_3752.JPGIMG_4009.JPGIMG_4001.JPGIMG_4002.JPGIMG_4008.JPGIMG_4032.JPGIMG_4000.JPGIMG_3979.JPG
GCP 1502 was not marked on the following images(only up to 6 images shown). If the circle is too far awayfrom the initial GCP position, also measure the GCP in
these images to improve the accuracy.
IMG_3728.JPGIMG_3750.JPGIMG_3782.JPGIMG_3790.JPGIMG_3792.JPGIMG_3813.JPG
GCP Name: 1503 (-712809.791000,-1155208.739000,538.007000)
IMG_3822.JPGIMG_3823.JPGIMG_3839.JPGIMG_3840.JPGIMG_3841.JPGIMG_3919.JPGIMG_3920.JPGIMG_3936.JPGIMG_3854.JPGIMG_3949.JPGIMG_3853.JPGIMG_3906.JPGIMG_3935.JPGIMG_3918.JPGIMG_3950.JPG
GCP 1503 was not marked on the following images(only up to 6 images shown). If the circle is too far awayfrom the initial GCP position, also measure the GCP in
these images to improve the accuracy.
IMG_3809.JPGIMG_3821.JPGIMG_3852.JPGIMG_3856.JPGIMG_3874.JPGIMG_3887.JPG
GCP Name: 1504 (-712612.015000,-1155366.189000,531.656000)
IMG_3805.JPGIMG_3806.JPGIMG_3827.JPGIMG_3776.JPGIMG_3775.JPGIMG_3986.JPGIMG_3767.JPGIMG_3797.JPGIMG_3798.JPGIMG_3994.JPGIMG_3985.JPGIMG_3993.JPGIMG_3962.JPGIMG_3963.JPGIMG_3774.JPGIMG_3984.JPGIMG_4017.JPGIMG_3796.JPGIMG_3954.JPGIMG_3955.JPGIMG_3765.JPGIMG_3956.JPGIMG_3953.JPGIMG_3961.JPGIMG_4015.JPGIMG_3932.JPGIMG_4024.JPGIMG_3834.JPGIMG_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 circleoutside of the yellow circle indicates either an accuracy issue or a GCP issue.
Processing Options
HardwareCPU: Intel(R) Core(TM) i7-3840QM CPU @ 2.80GHzRAM: 32GBGPU: NVIDIA Quadro K3000M (Driver: 10.18.13.5442)
Operating System Windows 8.1 Pro, 64-bitCamera Model Name CanonIXUS127HS_4.3_4608x3456 (RGB)Image Coordinate System WGS84Ground Control Point (GCP) CoordinateSystem S-JTSK / Krovak
Output Coordinate System S-JTSK / KrovakKeypoints Image Scale Full, Image Scale: 1Advanced: Matching Image Pairs Aerial Grid or CorridorAdvanced: Matching Strategy Use Geometrically Verified Matching: noAdvanced: Keypoint Extraction Targeted Number of Keypoints: Automatic
Advanced: Calibration Calibration Method: Standard, Internal Parameters Optimization: All, External ParametersOptimization: All, Rematch: yes
Point Cloud Densification details
Processing Options
Image Scale multiscale, 1/2 (Half image size, Default)Point Density OptimalMinimum Number of Matches 43D Textured Mesh Generation noAdvanced: Matching Window Size 7x7 pixelsAdvanced: Image Groups group1Advanced: Use Densification Area yesAdvanced: Use Annotations yesAdvanced: Limit Camera Depth Automatically noTime for Point Cloud Densification 02h:35m:07sTime for 3D Textured Mesh Generation NA
Results
Number of Generated Tiles 9Number of 3D Densified Points 27390103
Average Density (per m3) 107.34
DSM, Orthomosaic and Index Details
Processing Options
DSM and Orthomosaic Resolution 1 x GSD (3.7 [cm/pixel])DSM Filters Noise Filtering: yes, Surface Smoothing: yes, SharpDSM Generation yes, Method: Inverse Distance Weighting, Merge Tiles: noTime for DSM Generation 23m:34sTime for Orthomosaic Generation 34m:23s