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.
- S/C:
  - Every 20° azimuth angle, 45° zenith angle
- Sun:
  - 0, 90°, 180°, 270° azimuth angle, 45 zenith angle
  - 135° azimuth angle, 30° zenith angle

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: START1.MAP:

GSD = 25cm;
Q size = 150;
width = 75m;
center lat/wlong = -8.027, 262.768.

DTM Bigmap parameters:

Step	GSD(cm)	Overlap Factor	Approx. Overlap Percentage	Q Size	Width
35cm-Tiling	35	1.3	60%	112	60m
18cm-Tiling	18	1.3	60%	217	61m
9cm-Tiling	9	1.3	60%	434	61m
5cm-Tiling	5	1.3	60%	780	62m

Evaluation Bigmap parameters:

GSD = 5cm;
Q size = 500;
width = 50m;

Tiling Parameters

Tiling parameters may have varied between users:

Parameter	TCampbell	KDrozd	DLambert	EPalmer	JWeirich
Calculate Central Vector (v, 1)	?	?	?	?	?
Differential Stereo (2, 6)	?	?	?	?	?
Shadows (2, 7)	?	?	?	?	?

Iteration Parameters

Iteration parameters varied between users:

Parameter	TCampbell	KDrozd	DLambert	EPalmer	JWeirich
Reset albedo/slopes (a, y, y)	NO	YES	YES	?	YES
Calculate Central Vector (v, 1)	YES	YES	YES	?	YES
Differential Stereo (2, 6)	NO	NO	NO	?	NO
Shadows (2, 7)	NO	YES	NO	?	YES

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