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http://dx.doi.org/10.7780/kjrs.2004.20.6.369

Application of Linear Spectral Mixture Analysis to Geological Thematic Mapping using LANDSAT 7 ETM+ and ASTER Satellite Imageries  

Kim Seung Tae (Korea Resources Corporation, Graduate School, Hansung University)
Lee Kiwon (Dept. of Information Systems Engineering, Hansung University)
Publication Information
Korean Journal of Remote Sensing / v.20, no.6, 2004 , pp. 369-382 More about this Journal
Abstract
The purpose of this study is the investigation of applicability of LSMA(Linear Spectral Mixture Analysis) on the geological uses with different radiometric and spatial types of sensor images such as Terra ASTER and LANDSAT 7 ETM+. As for the actual application case, geologic mapping for mineral exploration using ASTER and ETM+ at the Mongolian plateau region was carried out. After the pre-processing such as the geometric corrections and calibration of radiance, 7 endmembers, as spectral classes for geologic rock types, related to spectral signature deviation for the given application was determined by the pre-surveyed geological mapping information and the correlation matrix analysis, and total 20 images of ASTER and ETM+ were used to LSMA processing. As the results, fraction maps showing individual mineral types in the study area are presented. It concluded that this approach based on LSMA using ETM+ and ASTER is regarded as one of the effective schemes for geologic remote sensing.
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