Vision-Based Satellite Recognition and Pose Estimation Using Gaussian Process Regression

Table 9

Parameters used for pose estimation.

Method+representation	Subset
MCGPR+BI	2D	0.01
MCGPR+DT	2D	0.01
MCGPR+HU	2D	1.00
MCGPR+FD	2D	0.45
MCGPR+GI	2D	0.01
MCGPR+HOG	2D	0.01
GPR+BI	2D	0.01
GPR+DT	2D	0.01
GPR+HU	2D	1.00
GPR+FD	2D	0.24
GPR+GI	2D	0.03
GPR+HOG	2D	0.01
MCGPR+BI	1D & noise	0.01
MCGPR+DT	1D & noise	0.01
MCGPR+HU	1D & noise	0.01
MCGPR+FD	1D & noise	0.02
MCGPR+GI	1D & noise	0.01
MCGPR+HOG	1D & noise	0.05
GPR+BI	1D & noise	0.01
GPR+DT	1D & noise	0.02
GPR+HU	1D & noise	0.01
GPR+FD	1D & noise	0.04
GPR+GI	1D & noise	0.04
GPR+HOG	1D & noise	0.08
MCGPR+GI	Lighting	0.01
MCGPR+HOG	Lighting	0.01
GPR+GI	Lighting	0.13
GPR+HOG	Lighting	0.01