An improved recognition algorithm for lunar terrain based on CCD image
- 10.2991/icmmct-16.2016.315How to use a DOI?
- CCD image; Recognition algorithm; Lunar terrain; Mare and Highland
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: â€˜H010â€™ and â€˜SIâ€™ 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 Cohenâ€™s kappa coefficient are both better than the result of previous algorithm in using DEM or CCD data. Especially in the â€˜H010â€™ area, the average whole recognition rate is 91.4325%, and the average Cohenâ€™s kappa coefficient is 0.813.
- © 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 - 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 -