Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

Multi-Level Screening Identification for Lunar Impact Craters

Authors
Jiaheng Chen, Zhankai Li, Xiaolin Tian
Corresponding Author
Jiaheng Chen
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.163How to use a DOI?
Keywords
Lunar impact crater, CCD, recognition algorithm, multi-level.
Abstract

This study proposes a Multi-Level Screening Identification algorithm for the automatic extraction and identification of impact craters based on CCD image. Considering of the comparatively low robustness of traditional algorithms, we design analytical hierarchy process in the new algorithm. First of all, we analyze the whole image, and tag the candidate regions. Next, make the different preprocessing for the different areas respectively. Then, identify the craters from the different area. Finally, the algorithm will check the result of identification automatically. To test the algorithm, we choose the image from the H010, SI and Crisiums. The proposed algorithm provides a good robustness in most of lunar areas.

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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Volume Title
Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/mmebc-16.2016.163
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.163How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Jiaheng Chen
AU  - Zhankai Li
AU  - Xiaolin Tian
PY  - 2016/06
DA  - 2016/06
TI  - Multi-Level Screening Identification for Lunar Impact Craters
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 778
EP  - 782
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.163
DO  - 10.2991/mmebc-16.2016.163
ID  - Chen2016/06
ER  -