THE INVESTIGATION OF MINERAL DISTRIBUTION AT LUNAR GRANULAR FLOW BY MOON MINERALOGY MAPPER HYPERSPECTRAL IMAGERY AND ITERATIVE ERROR ANALYSIS SPECTRAL UNMIXING ALGORITHM

摘要

Moon Mineralogy Mapper (M3) is spatially and spectrally high-resolution hyperspectral camera of Chandrayaan-1 lunar probe. It provided data used on many mineral and water researches over lunar surface. However, the lunar surface regolith is space-weathered by cosmic rays, solar winds, and micrometeorites and loses the spectral characteristics of minerals. Due to this phenomenon, it is difficult to apply many hyperspectral algorithms to the surface of moon. Therefore, we chose lunar granular flow in many craters as our target, which exposes the fresh lunar lithology beneath the surface by the landslide. Also, we decided to apply Iterative Error Analysis (IEA) that was not used in former studies at lunar researches. From the result of IEA algorithm unmixed M3 data, we detected strong pyroxene signal at granular flows and also detected plagioclase at rim of the craters. These results are corresponding to many former studies over the moon surface. It is expected that IEA algorithm can be used as a powerful and effective method for detecting and mapping minerals at the moon and other planet's hyperspectral research.