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Optical Image Generation and High-precision Line-of-Sight Extraction for Mars Approach Navigation

Published online by Cambridge University Press:  03 July 2018

Xiuqiang Jiang
Affiliation:
(College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China) (Advanced Space Technology Laboratory, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
Shuang Li*
Affiliation:
(College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China) (Advanced Space Technology Laboratory, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
Long Gu
Affiliation:
(College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China) (Advanced Space Technology Laboratory, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
Jun Sun
Affiliation:
(Shanghai Aerospace Control Technology Institute, Shanghai 201109, China)
Dongdong Xiao
Affiliation:
(Shanghai Aerospace Control Technology Institute, Shanghai 201109, China)

Abstract

A high-precision line-of-sight extraction technique is essential for autonomous optical navigation during the Mars approach phase. To support future Mars exploration missions, an optical image simulation system is a necessary ground verification facility for Mars image generation and line-of-sight extraction algorithm tests. In this paper, an optical image generation procedure is first developed according to projection relationships, reference flight profiles and camera parameters. Next, a hybrid image processing and subpixel-level line-of-sight extraction algorithm is proposed through modification of moment-based sub-pixel edge detection and improvement of direct least-square fitting approaches. Finally, an optical image simulation system is established, and the experimental results show that the proposed procedure can effectively simulate the optical image in the field-of-view of a Mars spacecraft, and the hybrid extraction algorithm can obtain high-precision Mars centroid information.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2018 

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