An improved recognition algorithm for lunar terrain based on CCD image

DOI

10.2991/icmmct-16.2016.315How to use a DOI?

Keywords

CCD image; Recognition algorithm; Lunar terrain; Mare and Highland

Abstract

With the development of space technology, topographic study of celestial bodies becomes increasingly important. In order to better carry out geomorphologic analysis and landing site selection of celestial bodies, the terrain classification becomes particularly critical. This paper provides an improved algorithm and proved its better in identifying the lunar mare area and the highland area of the CCD images with four features used in k-means clustering. We chose two typical areas: ‘H010’ and ‘SI’ areas of lunar terrain to research. And the result of the improved algorithm is analyzed from two different block size with different number of testing points. And also the whole recognition rate and Cohen’s kappa coefficient are both better than the result of previous algorithm in using DEM or CCD data. Especially in the ‘H010’ area, the average whole recognition rate is 91.4325%, and the average Cohen’s kappa coefficient is 0.813.

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  - Zhankai Li
AU  - Jiaheng Chen
AU  - Yiren Chang
AU  - Xiaolin Tian
PY  - 2016/03
DA  - 2016/03
TI  - An improved recognition algorithm for lunar terrain based on CCD image
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1580
EP  - 1586
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.315
DO  - 10.2991/icmmct-16.2016.315
ID  - Li2016/03
ER  -