Quality Report

Generated with Pix4Dmapper Pro version 3.2.23

Project	Podhorce_mapa_1
Processed	2017-07-13 11:21:27
Camera Model Name(s)	FC6310_8.8_5472x3648 (RGB)
Average Ground Sampling Distance (GSD)	2.66 cm / 1.05 in
Area Covered	0.2169 km² / 21.6873 ha / 0.0838 sq. mi. / 53.6181 acres
Time for Initial Processing (without report)	04h:29m:29s

Quality Check

	Images	median of 68612 keypoints per image
	Dataset	282 out of 282 images calibrated (100%), all images enabled
	Camera Optimization	0.76% relative difference between initial and optimized internal camera parameters
	Matching	median of 19589.6 matches per calibrated image
	Georeferencing	yes, no 3D GCP

Preview

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

Calibration Details

Number of Calibrated Images	282 out of 282
Number of Geolocated Images	282 out of 282

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 5x 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) and their 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 [m]	Y [m]	Z [m]	Omega [degree]	Phi [degree]	Kappa [degree]
Mean	0.653	0.653	1.583	0.835	0.916	0.788
Sigma	0.106	0.106	0.343	0.014	0.094	0.125

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	5640806
Number of 3D Points for Bundle Block Adjustment	2289564
Mean Reprojection Error [pixels]	0.144

	Internal Camera Parameters
	FC6310_8.8_5472x3648 (RGB). Sensor Dimensions: 12.833 [mm] x 8.556 [mm]
	EXIF ID: FC6310_8.8_5472x3648

	Focal Length	Principal Point x	Principal Point 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	3640.817 [pixel] 8.539 [mm]	2730.076 [pixel] 6.403 [mm]	1817.809 [pixel] 4.263 [mm]	-0.003	-0.007	0.007	-0.002	-0.000
Uncertainties (Sigma)	0.783 [pixel] 0.002 [mm]	0.549 [pixel] 0.001 [mm]	1.139 [pixel] 0.003 [mm]	0.001	0.002	0.002	0.000	0.000

The correlation between camera internal parameters determined by the bundle adjustment. White indicates a full correlation between the parameters, ie. any change in one can be fully compensated by the other. Black indicates that the parameter is completely independent, and is not affected by other 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 have been extracted at the pixel location. Black indicates that, on average, 0 ATPs have been extracted at the 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 bar indicates the magnitude of 1 pixel error.

2D Keypoints Table

	Number of 2D Keypoints per Image	Number of Matched 2D Keypoints per Image
Median	68612	19590
Min	42993	5210
Max	83897	36194
Mean	67204	20003

3D Points from 2D Keypoint Matches

	Number of 3D Points Observed
In 2 Images	1702304
In 3 Images	356032
In 4 Images	121440
In 5 Images	53004
In 6 Images	26216
In 7 Images	13334
In 8 Images	7209
In 9 Images	3894
In 10 Images	2219
In 11 Images	1301
In 12 Images	831
In 13 Images	552
In 14 Images	364
In 15 Images	251
In 16 Images	173
In 17 Images	117
In 18 Images	95
In 19 Images	70
In 20 Images	40
In 21 Images	28
In 22 Images	25
In 23 Images	15
In 24 Images	13
In 25 Images	6
In 26 Images	6
In 27 Images	7
In 28 Images	4
In 29 Images	3
In 30 Images	5
In 31 Images	1
In 32 Images	1
In 34 Images	1
In 39 Images	1
In 44 Images	2

2D Keypoint Matches

Uncertainty ellipses 100x magnified

	25	222	444	666	888	1111	1333	1555	1777	2000
Number of matches

Figure 5: Computed image positions with links between matched 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. Dark green ellipses indicate the relative camera position uncertainty of the bundle block adjustment result.

Relative camera position and orientation uncertainties

	X [m]	Y [m]	Z [m]	Omega [degree]	Phi [degree]	Kappa [degree]
Mean	0.022	0.022	0.023	0.021	0.019	0.019
Sigma	0.005	0.005	0.005	0.005	0.005	0.007

Geolocation Details

Absolute Geolocation Variance

Min Error [m]	Max Error [m]	Geolocation Error X [%]	Geolocation Error Y [%]	Geolocation Error Z [%]
-	-15.00	0.00	0.00	0.00
-15.00	-12.00	0.00	0.00	0.00
-12.00	-9.00	0.00	0.00	0.00
-9.00	-6.00	0.00	0.00	0.00
-6.00	-3.00	6.74	9.93	0.00
-3.00	0.00	62.77	29.79	47.52
0.00	3.00	19.50	52.84	52.48
3.00	6.00	10.99	7.45	0.00
6.00	9.00	0.00	0.00	0.00
9.00	12.00	0.00	0.00	0.00
12.00	15.00	0.00	0.00	0.00
15.00	-	0.00	0.00	0.00
Mean [m]		0.000000	0.000000	0.000000
Sigma [m]		1.896506	1.973351	0.743836
RMS Error [m]		1.896506	1.973351	0.743836

Min Error and Max Error represent geolocation error intervalsbetween -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.

Relative Geolocation Variance

Relative Geolocation Error	Images X [%]	Images Y [%]	Images Z [%]
[-1.00, 1.00]	98.58	98.23	100.00
[-2.00, 2.00]	100.00	100.00	100.00
[-3.00, 3.00]	100.00	100.00	100.00
Mean of Geolocation Accuracy [m]	5.000000	5.000000	10.000000
Sigma of Geolocation Accuracy [m]	0.000000	0.000000	0.000000

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

Geolocation Orientational Variance	RMS [degree]
Omega	2.276
Phi	2.084
Kappa	3.532

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

Initial Processing Details

System Information

Hardware CPU: Intel(R) Core(TM) i5-4570 CPU @ 3.20GHz
RAM: 12GB
GPU: NVIDIA GeForce GT 755M (Driver: 10.18.13.5582), RDPDD Chained DD (Driver: unknown), RDP Encoder Mirror Driver (Driver: unknown), RDP Reflector Display Driver (Driver: unknown)

Operating System Windows 7 Home Premium, 64-bit

Coordinate Systems

Image Coordinate System WGS84 (egm96)

Output Coordinate System WGS84 / UTM zone 35N (egm96)

Processing Options

Detected Template 3D Maps

Keypoints Image Scale Full, Image Scale: 1

Advanced: Matching Image Pairs Aerial Grid or Corridor

Advanced: Matching Strategy Use Geometrically Verified Matching: no

Advanced: Keypoint Extraction Targeted Number of Keypoints: Automatic

Advanced: Calibration Calibration Method: Standard
Internal Parameters Optimization: All
External Parameters Optimization: All
Lever-Arm Parameters Optimization: None
Rematch: Auto, yes
Bundle Adjustment: Classic

Point Cloud Densification details

Processing Options

Image Scale multiscale, 1/2 (Half image size, Default)

Point Density Optimal

Minimum Number of Matches 3

3D Textured Mesh Generation yes

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

Advanced: 3D Textured Mesh Settings Sample Density Divider: 1

Advanced: Matching Window Size 7x7 pixels

Advanced: Image Groups group1

Advanced: Use Processing Area yes

Advanced: Use Annotations yes

Advanced: Limit Camera Depth Automatically no

Time for Point Cloud Densification 04h:03m:15s

Time for 3D Textured Mesh Generation 30m:23s

Results

Number of Processed Clusters 2

Number of Generated Tiles 3

Number of 3D Densified Points 36924936

Average Density (per m³) 71.85

DSM, Orthomosaic and Index Details

Processing Options

DSM and Orthomosaic Resolution 1 x GSD (2.67 [cm/pixel])

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

Raster DSM Generated: yes
Method: Triangulation
Merge Tiles: yes

Orthomosaic Generated: yes
Merge Tiles: yes
GeoTIFF Without Transparency: no
Google Maps Tiles and KML: no

Grid DSM Generated: yes, Spacing [cm]: 100

Raster DTM Generated: yes
Merge Tiles: yes

DTM Resolution 5 x GSD (2.67 [cm/pixel])

Contour Lines Generation Generated: yes
Contour Base [m]: 20
Elevation Interval [m]: 4
Resolution [cm]: 15
Minimum Line Size [vertices]: 20

Time for DSM Generation 58m:32s

Time for Orthomosaic Generation 12h:34m:51s

Time for DTM Generation 44m:30s

Time for Contour Lines Generation 16s

Hardware	CPU: Intel(R) Core(TM) i5-4570 CPU @ 3.20GHz RAM: 12GB GPU: NVIDIA GeForce GT 755M (Driver: 10.18.13.5582), RDPDD Chained DD (Driver: unknown), RDP Encoder Mirror Driver (Driver: unknown), RDP Reflector Display Driver (Driver: unknown)
Operating System	Windows 7 Home Premium, 64-bit

Image Coordinate System	WGS84 (egm96)
Output Coordinate System	WGS84 / UTM zone 35N (egm96)

Detected Template	3D Maps
Keypoints Image Scale	Full, Image Scale: 1
Advanced: Matching Image Pairs	Aerial Grid or Corridor
Advanced: Matching Strategy	Use Geometrically Verified Matching: no
Advanced: Keypoint Extraction	Targeted Number of Keypoints: Automatic
Advanced: Calibration	Calibration Method: Standard Internal Parameters Optimization: All External Parameters Optimization: All Lever-Arm Parameters Optimization: None Rematch: Auto, yes Bundle Adjustment: Classic

Image Scale	multiscale, 1/2 (Half image size, Default)
Point Density	Optimal
Minimum Number of Matches	3
3D Textured Mesh Generation	yes
3D Textured Mesh Settings:	Resolution: Medium Resolution (default) Color Balancing: no
Advanced: 3D Textured Mesh Settings	Sample Density Divider: 1
Advanced: Matching Window Size	7x7 pixels
Advanced: Image Groups	group1
Advanced: Use Processing Area	yes
Advanced: Use Annotations	yes
Advanced: Limit Camera Depth Automatically	no
Time for Point Cloud Densification	04h:03m:15s
Time for 3D Textured Mesh Generation	30m:23s

Number of Processed Clusters	2
Number of Generated Tiles	3
Number of 3D Densified Points	36924936
Average Density (per m³)	71.85

DSM and Orthomosaic Resolution	1 x GSD (2.67 [cm/pixel])
DSM Filters	Noise Filtering: yes Surface Smoothing: yes, Type: Sharp
Raster DSM	Generated: yes Method: Triangulation Merge Tiles: yes
Orthomosaic	Generated: yes Merge Tiles: yes GeoTIFF Without Transparency: no Google Maps Tiles and KML: no
Grid DSM	Generated: yes, Spacing [cm]: 100
Raster DTM	Generated: yes Merge Tiles: yes
DTM Resolution	5 x GSD (2.67 [cm/pixel])
Contour Lines Generation	Generated: yes Contour Base [m]: 20 Elevation Interval [m]: 4 Resolution [cm]: 15 Minimum Line Size [vertices]: 20
Time for DSM Generation	58m:32s
Time for Orthomosaic Generation	12h:34m:51s
Time for DTM Generation	44m:30s
Time for Contour Lines Generation	16s

Quality Report

Quality Check

Preview

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

Calibration Details

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

Absolute camera position and orientation uncertainties

Overlap

Bundle Block Adjustment Details

Internal Camera Parameters

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

EXIF ID: FC6310_8.8_5472x3648

2D Keypoints Table

3D Points from 2D Keypoint Matches

2D Keypoint Matches

Relative camera position and orientation uncertainties

Geolocation Details

Absolute Geolocation Variance

Relative Geolocation Variance

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

Initial Processing Details

System Information

Coordinate Systems

Processing Options

Point Cloud Densification details

Processing Options

Results

DSM, Orthomosaic and Index Details

Processing Options