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 * To obtain user-in-the-loop and server-in-the-loop RMS variations.  * To obtain user-in-the-loop and server-in-the-loop RMS error variations.

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 error 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

Spacecraft:

SC_perfectF2_POLARS.jpg

Sun:

SUN_perfectF2_POLARS.jpg

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

OptimalRMS-resized.png

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

OptimalResidual-resized.png

35cm GSD Maplets - 50cm Resolution Images MTAG15-35cmMaplets.jpg

18cm GSD Maplets - 20cm Resolution Images MTAG15-18cmMaplets.jpg

9cm GSD Maplets - 10cm Resolution Images MTAG15-9cmMaplets.jpg

OptimalF2 (last edited 2016-05-23 15:45:37 by DianeLambert)