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Remote sensing data can be effectively used as a means to build geological knowledge for poorly mapped terrains. In this study, the support vector machine (SVM) algorithm is applied to an automated lithological classification of a study area in northwestern India using Advanced Space-borne Thermal Emission and Reflection Radiometer (ASTER) imagery, together with ASTER-derived digital elevation model...
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