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出 处:《Geo-Spatial Information Science》2005年第2期110-114,共5页地球空间信息科学学报(英文)
摘 要:Different image processing algorithms have been evaluated in the context of geological mapping using Landsat TM data. False color composites, the principal component imagery, and IHS decorrelation stretching method for Landsat-5 TM data have been found useful for delineating the regional geological features, mainly to provide the maximum geological information of the studied area . The study testifies that using which image processing yields best results for geological mapping in arid and semiarid regions by preserving morphological and spectral information. Generally, the studied area can be divided into three main geological units: Basaltic intrusive rocks, Metamorphic with varying intensities and Sedimentary rocks.Different image processing algorithms have been evaluated in the context ofgeological mapping using Landsat TM data. False color composites, the principal componentimagery, and IHS decorrelation stretching method for Landsat-5 TM data have been found useful fordelineating the regional geological features, mainly to provide the maximum geological informationof the studied area . The study testifies that using which image processing yields best resultsfor geological mapping in arid and semiarid regions by preserving morphological and spectralinformation. Generally, the studied area can be divided into three main geological units: Basalticintrusive rocks, Metamorphic with varying intensities and Sedimentary rocks.
关 键 词:false color composites IHS decorrelation principal component
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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