Lunar terrain and mineral's abundance automatic analysis

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• 作者：Qinghua Su ; Yan Zhao ; Kui Yang ; Shaochen Zhang
• 关键词：Lunar image ; Lunar crater ; Multi-information ; Fuzzy logic
• 刊名：Optik - International Journal for Light and Electron Optics
• 出版年：February, 2014
• 年：2014
• 卷：125
• 期：3
• 页码：1278-1282
• 全文大小：870 K

文摘

The image is the important data in the lunar exploration. The main objective of this work is to detection lunar craters with the multi-information fuzzy logic method, and to quantify the image's terrain and the abundance of lunar surface minerals based on crater distribution law and soil characterization consortium data set with lunar surface reflectance. We implement image processing to recognize lunar crater and analysis lunar terrain; use lunar reflectance model to solve mineral reflectance question; joint commonly used look-up lunar reflectance tables and least squares to solve lunar surface reflectance questions; and calculate the minerals reflectance, region reflectance, and then estimate abundance of lunar surface soil minerals. An actual lunar image (Apollo 15 landsite, Clementine mission) of Mare region as an example, this method analysis results of the terrain and mineral's abundance are basically same with published literature. In the future, this method can be simple rapid in-time implemented in real-time lunar exploration.