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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