Auto-extraction of space debris features based on autofocus search and inverse Radon transform

DOI

10.2991/icmemtc-16.2016.308How to use a DOI?

Keywords

Space debris; Feature extraction; Doppler signature; Autofocus search; Inverse Radon transform.

Abstract

A method for automatic and accurate feature extraction of space debris is proposed. The echo model of space debris in orbit is formulated first. Then an autofocus search method is presented to obtain the Doppler signature of space debris based on the predicted orbit. The inverse Radon transform (IRT) is used to automatically extract features of space debris. The extraction of spin periods is considered as an example to illustrate the effectiveness of the proposed method. Quantitative simulation results prove that estimated parameter is sufficient in accuracy.

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  - Huawei Cao
AU  - Meiguo Gao
PY  - 2016/04
DA  - 2016/04
TI  - Auto-extraction of space debris features based on autofocus search and inverse Radon transform
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1615
EP  - 1620
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.308
DO  - 10.2991/icmemtc-16.2016.308
ID  - Cao2016/04
ER  -