Research Article

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

Table 7

Joint satellite recognition and pose estimation results on the 1D subset of BUAA-SID 1.5. Results are in bold if the proposed method performs the best and in italic if the second best.

RepresentationMethodMAE (°)

BIHomeomorphic manifold [12]4.33
SVM [12]9.98
Kernel method [19]6.80
Proposed method4.83

DTHomeomorphic manifold [12]7.95
SVM [12]13.5
Kernel method [19]10.47
Proposed method6.78

HUHomeomorphic manifold [12]64.0
SVM [12]74.7
Kernel method [19]84.65
Proposed method57.46

FDHomeomorphic manifold [12]27.7
SVM [12]25.5
Kernel method [19]58.34
Proposed method21.85

GIHomeomorphic manifold [12]0.51
SVM [12]3.05
Kernel method [19]0.43
Proposed method0.29

HOGHomeomorphic manifold [12]8.73
SVM [12]10.2
Kernel method [19]6.47
Proposed method5.32