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Quality Report

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Summary

Project chickopee_20180815_area2Processed 2018-08-27 14:00:16Camera Model Name(s) FC6310_8.8_5472x3648 (RGB)Average Ground Sampling Distance (GSD) 3.20 cm / 1.26 in

Area Covered 0.100 km2 / 10.0012 ha / 0.04 sq. mi. / 24.7264 acresTime for Initial Processing (without report) 17m:49s

Quality Check

Images median of 69556 keypoints per image

Dataset 127 out of 127 images calibrated (100%), all images enabled

Camera Optimization 1.03% relative difference between initial and optimized internal camera parameters

Matching median of 12038.4 matches per calibrated image

Georeferencing yes, 6 GCPs (6 3D), mean RMS error = 0.123 US survey foot

Preview

Figure 1: Orthomosaic and the corresponding sparse Digital Surface Model (DSM) before densification.

Calibration Details

Number of Calibrated Images 127 out of 127Number of Geolocated Images 127 out of 127

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

Uncertainty ellipses 100x magnified

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). Dark green ellipses indicate the absolute

position uncertainty of the bundle block adjustment result.

Absolute camera position and orientation uncertainties

X [US survey foot] Y [US survey foot] Z [US survey foot] Omega [degree] Phi [degree] Kappa [degree]Mean 0.106 0.055 0.206 0.009 0.008 0.002Sigma 0.004 0.020 0.017 0.002 0.002 0.001

Overlap

Number of overlapping images: 1 2 3 4 5+

Figure 4: Number of overlapping images computed for each pixel of the orthomosaic. Red and yellow areas indicate low overlap for which poor results may be generated. Green areas indicate an overlap of over 5 images for every pixel. Good

quality results will be generated as long as the number of keypoint matches is also sufficient for these areas (see Figure 5 for keypoint matches).

Bundle Block Adjustment Details

Number of 2D Keypoint Observations for Bundle Block Adjustment 1740686Number of 3D Points for Bundle Block Adjustment 642131Mean Reprojection Error [pixels] 0.136

Internal Camera Parameters

FC6310_8.8_5472x3648 (RGB). Sensor Dimensions: 12.833 [mm] x 8.556 [mm]

EXIF ID: FC6310_8.8_5472x3648

FocalLength

PrincipalPoint x

PrincipalPoint y R1 R2 R3 T1 T2

Initial Values 3668.759 [pixel]8.604 [mm]

2736.001 [pixel]6.417 [mm]

1823.999 [pixel]4.278 [mm] 0.003 -0.008 0.008 -0.000 0.000

Optimized Values 3706.677 [pixel]8.693 [mm]

2770.858 [pixel]6.498 [mm]

1805.894 [pixel]4.235 [mm] 0.006 -0.003 0.003 -0.001 0.002

Uncertainties (Sigma) 1.990 [pixel]0.005 [mm]

0.664 [pixel]0.002 [mm]

0.787 [pixel]0.002 [mm] 0.000 0.000 0.000 0.000 0.000

CorrelatedIndependent

F

C0x

C0y

R1

R2

R3

T1

T2

The correlation between camera internal parametersdetermined by the bundle adjustment. White indicates a fullcorrelation between the parameters, ie. any change in one canbe fully compensated by the other. Black indicates that theparameter is completely independent, and is not affected byother parameters.

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, on average, more than 16 ATPs havebeen extracted at the pixel location. Black indicates that, on average, 0 ATPs have been extracted atthe pixel location. Click on the image to the see the average direction and magnitude of the re-projection error for each pixel. Note that the vectors are scaled for better visualization. The scale barindicates the magnitude of 1 pixel error.

2D Keypoints Table

Number of 2D Keypoints per Image Number of Matched 2D Keypoints per ImageMedian 69556 12038Min 55280 5386Max 82388 41631Mean 69427 13706

3D Points from 2D Keypoint Matches

Number of 3D Points ObservedIn 2 Images 522406

In 3 Images 54632In 4 Images 18958In 5 Images 10635In 6 Images 7078In 7 Images 5068In 8 Images 3727In 9 Images 2979In 10 Images 2465In 11 Images 2051In 12 Images 1705In 13 Images 1496In 14 Images 1206In 15 Images 1034In 16 Images 856In 17 Images 749In 18 Images 685In 19 Images 537In 20 Images 477In 21 Images 407In 22 Images 396In 23 Images 348In 24 Images 312In 25 Images 285In 26 Images 230In 27 Images 195In 28 Images 204In 29 Images 164In 30 Images 136In 31 Images 130In 32 Images 79In 33 Images 103In 34 Images 78In 35 Images 69In 36 Images 51In 37 Images 42In 38 Images 43In 39 Images 37In 40 Images 27In 41 Images 23In 42 Images 13In 43 Images 10In 44 Images 3In 47 Images 2

2D Keypoint Matches

Uncertainty ellipses 1000x magnified

Number of matches25 222 444 666 888 1111 1333 1555 1777 2000

Figure 5: Computed image positions with links between matched images. The darkness of the links indicates the number of matched 2D keypoints between theimages. Bright links indicate weak links and require manual tie points or more images. Dark green ellipses indicate the relative camera position uncertainty of the

bundle block adjustment result.

Relative camera position and orientation uncertainties

X [US survey foot] Y [US survey foot] Z [US survey foot] Omega [degree] Phi [degree] Kappa [degree]Mean 0.026 0.024 0.028 0.008 0.009 0.004Sigma 0.008 0.008 0.015 0.002 0.003 0.002

Geolocation Details

Ground Control Points

GCP Name Accuracy XY/Z [USsurvey foot]

Error X [USsurvey foot]

Error Y [USsurvey foot]

Error Z [USsurvey foot]

Projection Error[pixel] Verified/Marked

chick13 (3D) 0.020/ 0.020 -0.306 -0.020 -0.472 0.692 3 / 3chick14 (3D) 0.020/ 0.020 0.060 -0.021 -0.017 0.340 10 / 10chick15 (3D) 0.020/ 0.020 -0.134 -0.087 0.042 0.341 10 / 10chick16 (3D) 0.020/ 0.020 0.054 0.054 0.094 0.319 10 / 10chick17 (3D) 0.020/ 0.020 0.014 0.068 0.010 0.505 10 / 10chick18 (3D) 0.020/ 0.020 -0.001 -0.021 0.012 0.526 10 / 10Mean [US surveyfoot] -0.052225 -0.004269 -0.055244

Sigma [US surveyfoot] 0.130562 0.051961 0.189464

RMS Error [USsurvey foot] 0.140619 0.052136 0.197353

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 [US survey foot] Max Error [US survey foot] Geolocation Error X [%] Geolocation Error Y [%] Geolocation Error Z [%]- -49.21 0.00 0.00 0.00-49.21 -39.37 0.00 0.00 0.00-39.37 -29.53 0.00 0.00 0.00-29.53 -19.69 0.00 0.00 0.00-19.69 -9.84 6.30 7.87 0.00-9.84 0.00 48.82 44.09 38.580.00 9.84 38.58 38.58 61.429.84 19.69 6.30 9.45 0.0019.69 29.53 0.00 0.00 0.0029.53 39.37 0.00 0.00 0.0039.37 49.21 0.00 0.00 0.0049.21 - 0.00 0.00 0.00Mean [US survey foot] -5.062156 3.099115 -243.608992Sigma [US survey foot] 6.159160 6.402020 2.703001RMS Error [US survey foot] 7.972494 7.112692 243.623987

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 initial 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 [US survey foot] -5.062156 3.099115 -243.608992

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] 100.00 100.00 100.00[-2.00, 2.00] 100.00 100.00 100.00[-3.00, 3.00] 100.00 100.00 100.00Mean of Geolocation Accuracy [US survey foot] 16.404167 16.404167 32.808333Sigma of Geolocation Accuracy [US survey foot] 0.000001 0.000001 0.000003

Images X, Y, Z represent the percentage of images with a relative geolocation error in X, Y, Z.

Geolocation Orientational Variance RMS [degree]Omega 0.336Phi 0.398Kappa 5.955

Geolocation RMS error of the orientation angles given by the difference between the initial and computed image orientation angles.

Initial Processing Details

System Information

HardwareCPU: Intel(R) Core(TM) i7-6700 CPU @ 3.40GHzRAM: 40GBGPU: NVIDIA GeForce GT 730 (Driver: 23.21.13.9135), Intel(R) HD Graphics 530 (Driver: 20.19.15.4352)

Operating System Windows 10 Enterprise, 64-bit

Coordinate Systems

Image Coordinate System WGS84 (egm96)Ground Control Point (GCP) Coordinate System NAD83(2011) / West Virginia South (ftUS) (-33.52US survey foot)Output Coordinate System NAD83(2011) / West Virginia South (ftUS) (-33.52US survey foot)

Processing Options

Detected Template 3D MapsKeypoints 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: CalibrationCalibration Method: StandardInternal Parameters Optimization: AllExternal Parameters Optimization: AllRematch: Auto, yes

Point Cloud Densification details

Processing Options

Image Scale multiscale, 1/2 (Half image size, Default)Point Density OptimalMinimum Number of Matches 33D Textured Mesh Generation yes

3D Textured Mesh Settings: Resolution: Medium Resolution (default)Color Balancing: no

LOD Generated: noAdvanced: 3D Textured Mesh Settings Sample Density Divider: 1Advanced: Image Groups group1Advanced: Use Processing Area yesAdvanced: Use Annotations yesTime for Point Cloud Densification 31m:23sTime for Point Cloud Classification NATime for 3D Textured Mesh Generation 08m:52s

Results

Number of Generated Tiles 1Number of 3D Densified Points 17256326

Average Density (per US survey foot3) 2.88

DSM, Orthomosaic and Index Details

Processing Options

DSM and Orthomosaic Resolution 1 x GSD (3.2 [cm/pixel])

DSM Filters Noise Filtering: yesSurface Smoothing: yes, Type: Sharp

Raster DSMGenerated: yesMethod: Inverse Distance WeightingMerge Tiles: yes

OrthomosaicGenerated: yes Merge Tiles: yesGeoTIFF Without Transparency: noGoogle Maps Tiles and KML: no

Time for DSM Generation 18m:58sTime for Orthomosaic Generation 16m:07sTime for DTM Generation 00sTime for Contour Lines Generation 00sTime for Reflectance Map Generation 00sTime for Index Map Generation 00s