An Angle Estimation to Landmarks for Autonomous Satellite Navigation

DOI

10.2991/emcpe-16.2016.140How to use a DOI?

Keywords

Image Matching; Satellite Position Determination; Vision Based Navigation; Angle Estimation

Abstract

Celestial navigation is a completely autonomous navigation method, but the measure based on star sensor and infrared horizon sensor has a low precision. Especially its direction to the earth measured by infrared sensor leads to great deviation. Aimed by this consideration, we propose a vision-based method to obtain the direction to the earth in this paper. In particular, direction to the center of the earth is replaced by the direction of the landmark on the ground. And the location of landmark is determined by registering single image frames to reference image with a reliable matching method. Image matching based on feature has good performance on resistance of scale and rotation variation. Experiment results verify that the autonomous navigation for satellite with camera sensor has a higher accuracy than traditional methods. Comparing with SURF (Speeded-up Robust Feature), SIFT (Scale Invariant Feature Transform) achieves a higher precision despite of a moderate loss of efficiency

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qing Xue
AU  - Hongwen Yang
AU  - Jian Wang
PY  - 2016/08
DA  - 2016/08
TI  - An Angle Estimation to Landmarks for Autonomous Satellite Navigation
BT  - Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
PB  - Atlantis Press
SP  - 513
EP  - 518
SN  - 2352-5401
UR  - https://doi.org/10.2991/emcpe-16.2016.140
DO  - 10.2991/emcpe-16.2016.140
ID  - Xue2016/08
ER  -