Test 05: OptimalF2
Aim and Objectives
Purpose of test: To obtain highest possible topographic accuracy and resolution for TAG site 1, given perfect camera position and pointing and optimal SPC image suite.
Additional Objectives
- To obtain user-in-the-loop and server-in-the-loop RMS variations.
- To obtain user-in-the-loop procedural variation.
- To obtain beginner/expert user variation.
Methodology
Data
- Data was generated by Imager_mg using shape3.8 on ormacsrv1.
- PT10A - Centered at the middle of TAG site one.
- Image Suite: Optimal flight path, image resolutions: 50cm, 20cm, 10cm, 5cm.
- emission
- Every 20 degrees azimuth, 45 degree zenith angle
- incidence
- 0, 90, 180, 270, 45 zenith angle
- 135 azimuth, 30 zenith angle
- emission
Spacecraft:
Sun:
User/Server-in-the-loop:
User |
Experience |
Server |
Number of Core Processors |
TCampbell |
Intermediate |
?Ormacsrv2 |
?8 |
KDrozd |
Intermediate |
Ormacsrv1 |
8 |
DLambert |
Beginner |
Ormacsrv3 |
6 |
EPalmer |
Experienced |
? |
? |
JWeirich |
Intermediate |
DD |
12 |
Bigmaps
The following TAG1 bigmaps were tiled/iterated and evaluated:
Starting topography defined from: ?
Step |
GSD |
Overlap Ratio |
Q Size |
Width |
35cm-Tiling |
||||
18cm-Tiling |
||||
9cm-Tiling |
||||
5cm-Tiling |
Iteration Parameters
Reset albedo/slopes: ?YES
Calculate Central Vector: ?YES
Differential Stereo: ?YES
Shadows: ?NO
Results
Discussion
Conclusions and Recommendations
Tables and Figures
RMS Distance (cm) - Compare OBJ
Resolution (cm) |
Step |
Diane |
Eric |
John |
Kris |
Tanner |
35 |
35cm-Tiling |
|
7.06 |
|
7.06 |
8.35 |
35 |
35cm-Iteration 1 |
|
6.95 |
|
7.15 |
8.49 |
35 |
35cm-Iteration 2 |
11.51 |
7.15 |
7.13 |
7.44 |
8.58 |
35 |
35cm-Iteration 3 |
11.76 |
7.6 |
|
7.44 |
|
35 |
35cm-Iteration 4 |
11.85 |
8.04 |
|
9.10 |
|
35 |
35cm-Iteration 5 |
11.31 |
7.57 |
|
11.05 |
|
35 |
35cm-Iteration 6 |
|
8.81 |
|
13.39 |
|
18 |
18cm-Tiling |
8.78 |
|
5.43 |
8.79 |
6.49 |
18 |
18cm-Iteration 1 |
8.62 |
8.12 |
6.29 |
9.37 |
6.50 |
18 |
18cm-Iteration 2 |
8.57 |
|
7.45 |
10.60 |
6.58 |
18 |
18cm-Iteration 3 |
8.57 |
|
|
|
|
18 |
18cm-Iteration 4 |
8.56 |
|
|
|
|
18 |
18cm-Iteration 5 |
8.55 |
|
|
|
|
18 |
18cm-Iteration 6 |
8.54 |
|
|
|
|
9 |
9cm-Tiling |
5.47 |
|
6.00 |
8.49 |
4.98 |
9 |
9cm-Iteration 1 |
5.28 |
|
7.39 |
9.80 |
4.92 |
9 |
9cm-Iteration 2 |
5.27 |
|
9.15 |
|
4.92 |
5 |
5cm-Tiling |
|
|
7.68 |
|
4.47 |
5 |
5cm-Iteration 1 |
|
|
12.31 |
|
4.44 |
5 |
5cm-Iteration 2 |
|
|
|
|
4.45 |
Formal Uncertainty (cm) - RESIDUALS
Resolution (cm) |
Step |
Diane |
Eric |
John |
Kris |
Tanner |
|
35 |
35cm-Tiling |
|
5.48 |
|
5.49 |
|
|
35 |
35cm-Iteration 1 |
|
6.32 |
|
6.91 |
|
|
35 |
35cm-Iteration 2 |
29.78 |
4.76 |
|
5.36 |
5.72 |
|
35 |
35cm-Iteration 3 |
39.12 |
4.71 |
|
5.45 |
|
|
35 |
35cm-Iteration 4 |
14.74 |
4.87 |
|
5.98 |
|
|
35 |
35cm-Iteration 5 |
12.69 |
5.04 |
|
6.72 |
|
|
35 |
35cm-Iteration 6 |
|
5.23 |
|
7.51 |
|
|
18 |
18cm-Tiling |
8.78 |
9.17 |
|
3.12 |
5.11 |
4.34 |
18 |
18cm-Iteration 1 |
7.90 |
|
2.97 |
3.98 |
4.45 |
|
18 |
18cm-Iteration 2 |
7.23 |
|
3.33 |
3.98 |
4.22 |
|
18 |
18cm-Iteration 3 |
6.84 |
|
|
|
|
|
18 |
18cm-Iteration 4 |
6.61 |
|
|
|
|
|
18 |
18cm-Iteration 5 |
6.47 |
|
|
|
|
|
18 |
18cm-Iteration 6 |
6.40 |
|
|
|
|
|
9 |
9cm-Tiling |
3.82 |
|
2.24 |
2.86 |
2.54 |
|
9 |
9cm-Iteration 1 |
3.53 |
|
2.57 |
2.99 |
2.46 |
|
9 |
9cm-Iteration 2 |
3.18 |
|
3.01 |
|
2.26 |
|
5 |
5cm-Tiling |
|
|
2.99 |
|
1.59 |
|
5 |
5cm-Iteration 1 |
|
|
3.97 |
|
1.43 |
|
5 |
5cm-Iteration 2 |
|
|
|
|
1.35 |
35cm GSD Maplets - 50cm Resolution Images 
18cm GSD Maplets - 20cm Resolution Images 
9cm GSD Maplets - 10cm Resolution Images 