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vuelo 3 report

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Quality Report
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Summary
Project
Processed
Camera Model Name(s)
Average Ground Sampling Distance (GSD)
vuelo 3
2022-11-15 13:19:23
FC6310R_8.8_5472x3648 (RGB)
2.15 cm / 0.85 in
Area Covered
0.174 km2 / 17.3954 ha / 0.07 sq. mi. / 43.0072 acres
Quality Check
Images
median of 43557 keypoints per image
Dataset
248 out of 248 images calibrated (100%), all images enabled
Camera Optimization
1.38% relative difference between initial and optimized internal camera parameters
Matching
median of 22729.4 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
Number of Geolocated Images
248 out of 248
248 out of 248
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 1000x 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
Mean
Sigma
X [m]
0.002
0.001
Y [m]
0.003
0.001
Z [m]
0.002
0.000
Omega [degree]
0.002
0.000
Phi [degree]
0.002
0.000
Kappa [degree]
0.001
0.000
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
Number of 3D Points for Bundle Block Adjustment
Mean Reprojection Error [pixels]
6045082
1818478
0.136
Internal Camera Parameters
FC6310R_8.8_5472x3648 (RGB). Sensor Dimensions: 12.833 [mm] x 8.556 [mm]
EXIF ID: FC6310R_8.8_5472x3648
Initial Values
Optimized Values
Uncertainties (Sigma)
Focal
Length
3658.300 [pixel]
8.580 [mm]
3708.992 [pixel]
8.699 [mm]
0.070 [pixel]
0.000 [mm]
Principal
Point x
2722.500 [pixel]
6.385 [mm]
2729.320 [pixel]
6.401 [mm]
0.041 [pixel]
0.000 [mm]
Principal
Point y
1835.100 [pixel]
4.304 [mm]
1807.114 [pixel]
4.238 [mm]
0.029 [pixel]
0.000 [mm]
R1
R2
R3
T1
T2
-0.269
0.112
-0.033
0.000
-0.001
-0.285
0.129
-0.038
0.000
-0.000
0.000
0.000
0.000
0.000
0.000
Correlated
F
C0x
C0y
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.
R1
R2
R3
Independent
T1
T2
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 reprojection 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
Median
Min
Max
Mean
Number of 2D Keypoints per Image
43557
21940
68554
44040
Number of Matched 2D Keypoints per Image
22729
12362
48073
24375
3D Points from 2D Keypoint Matches
In 2 Images
In 3 Images
In 4 Images
In 5 Images
In 6 Images
In 7 Images
In 8 Images
In 9 Images
In 10 Images
In 11 Images
In 12 Images
In 13 Images
In 14 Images
In 15 Images
In 16 Images
In 17 Images
In 18 Images
In 19 Images
In 20 Images
In 21 Images
In 22 Images
In 23 Images
Number of 3D Points Observed
1014346
339992
160995
92836
57536
38469
27271
20691
15677
11940
9119
6990
5378
4302
3387
2499
1823
1460
1037
788
583
449
In 24 Images
In 25 Images
In 26 Images
In 27 Images
In 28 Images
In 29 Images
In 30 Images
In 31 Images
In 32 Images
In 33 Images
In 34 Images
In 35 Images
In 36 Images
303
232
137
82
57
40
17
17
10
8
4
1
2
2D Keypoint Matches
Uncertainty ellipses 1000x magnified
Number of matches
25 222 444 666 888 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 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
Mean
X [m]
0.005
Y [m]
0.005
Z [m]
0.003
Omega [degree]
0.004
Phi [degree]
0.004
Kappa [degree]
0.001
Sigma
0.001
0.001
0.001
0.001
0.001
0.000
Geolocation Details
Absolute Geolocation Variance
Min Error [m]
-0.68
-0.54
-0.41
-0.27
-0.14
0.00
0.14
0.27
0.41
0.54
0.68
Mean [m]
Sigma [m]
RMS Error [m]
Max Error [m]
-0.68
-0.54
-0.41
-0.27
-0.14
0.00
0.14
0.27
0.41
0.54
0.68
-
Geolocation Error X [%]
0.00
0.00
0.00
0.00
0.00
50.81
43.55
0.00
0.00
0.00
4.44
1.21
0.036177
0.148526
0.152868
Geolocation Error Y [%]
0.00
0.00
5.65
0.00
0.00
45.97
48.39
0.00
0.00
0.00
0.00
0.00
-0.024344
0.099606
0.102537
Geolocation Error Z [%]
0.00
0.00
0.00
0.00
0.00
60.48
33.87
0.00
0.00
0.00
2.42
3.23
0.039659
0.164487
0.169201
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 initial 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
[-1.00, 1.00]
[-2.00, 2.00]
[-3.00, 3.00]
Mean of Geolocation Accuracy [m]
Sigma of Geolocation Accuracy [m]
Images X [%]
94.35
98.39
100.00
0.032592
0.076092
Images Y [%]
94.35
100.00
100.00
0.032592
0.076092
Images Z [%]
87.90
99.60
100.00
0.061506
0.087126
Images X, Y, Z represent the percentage of images with a relative geolocation error in X, Y, Z.
Geolocation Orientational Variance
Omega
Phi
Kappa
RMS [degree]
0.594
0.700
3.788
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: 12th Gen Intel(R) Core(TM) i7-12650H
RAM: 16GB
GPU: Intel(R) UHD Graphics (Driver: 31.0.101.3222), NVIDIA GeForce RTX 3050 Ti Laptop GPU (Driver: 31.0.15.2647)
Operating System
Windows 10 Pro, 64-bit
Coordinate Systems
Image Coordinate System
Output Coordinate System
WGS 84
WGS 84 / UTM zone 30N
Processing Options
Detected Template
Keypoints Image Scale
Advanced: Matching Image Pairs
Advanced: Matching Strategy
Advanced: Keypoint Extraction
Advanced: Calibration
3D Maps
Full, Image Scale: 1
Aerial Grid or Corridor
Use Geometrically Verified Matching: no
Targeted Number of Keypoints: Automatic
Calibration Method: Standard
Internal Parameters Optimization: All
External Parameters Optimization: All
Rematch: Auto, yes
Point Cloud Densification details
Processing Options
Image Scale
Point Density
Minimum Number of Matches
3D Textured Mesh Generation
3D Textured Mesh Settings:
LOD
Advanced: 3D Textured Mesh Settings
Advanced: Image Groups
Advanced: Use Processing Area
Advanced: Use Annotations
multiscale, 1/2 (Half image size, Default)
Optimal
3
yes
Resolution: Medium Resolution (default)
Color Balancing: no
Generated: no
Sample Density Divider: 1
group1
yes
yes
Results
Number of Generated Tiles
Number of 3D Densified Points
1
28021664
Average Density (per m3)
380.98
DSM, Orthomosaic and Index Details
Processing Options
DSM and Orthomosaic Resolution
DSM Filters
1 x GSD (2.15 [cm/pixel])
Noise Filtering: yes
Surface Smoothing: yes, Type: Sharp
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