An Improved Multi-Level Screening Identification Algorithm for Lunar Impact Craters

DOI

10.2991/icmeit-16.2016.15How to use a DOI?

Keywords

Lunar impact crater, CCD, recognition algorithm, multi-level.

Abstract

This study proposes an improved Multi-Level Screening Identification algorithm for the automatic extraction and identification of impact craters based on CCD image. Compared with previous algorithm of Multi-Level Screening Identification, we improved the robustness of algorithm based on terrain classification. First of all, our new algorithm makes a classification of terrain to get the areas of lunar mare and lunar highland and save the classification result by using binary image. At the same time, in order to get the entire suspected craters, our algorithm does the rough extraction and save them as the candidate regions. Next, the algorithm makes the different preprocessing for the different areas respectively according to the binary image of terrain classification. After eliminating many kinds of interference, our algorithm identifies the craters from the different areas as more accurate results. Finally, the algorithm will check the result of identification by the law of light on craters. After these steps, the algorithm can output the counting, the size and coordinates of craters. According to data from the Science and Application Center for Moon and Deepspace Exploration system, we choose the images from H010, Sinus Iridum and Mare Crisium for the testing separately. This algorithm shows higher robustness than previous work and achieves the expected results.

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/).

Download article (PDF)

TY  - CONF
AU  - Jiaheng Chen
AU  - Zhankai Li
AU  - Xiaolin Tian
PY  - 2016/08
DA  - 2016/08
TI  - An Improved Multi-Level Screening Identification Algorithm for Lunar Impact Craters
BT  - Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology
PB  - Atlantis Press
SP  - 82
EP  - 86
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeit-16.2016.15
DO  - 10.2991/icmeit-16.2016.15
ID  - Chen2016/08
ER  -