Identification and Mapping of Copper Mining Area in Singhbhum Copper Belt Using Advance Image Processing Techniques

Krishnendu Banerjee, Surajit Panda, Dr. Manish Kumar Jain

Abstract: Singhbhum shear zone is known as a mineral rich and potentially economic zone of India. Its mineral storage has a great potentiality in terms of economic development. According to GSI (Geological Survey of India) several the outcrops of copper ores severally are seen in singhbhum thrust zone. This paper describes PCA; Filtering and Logical operators can be used for identification of outcrop of copper ores of mosabani areas of East Singhbhum; Jharkhand. Principal component analysis (PCA) is an orthogonal transformation of bands that provides new dimensionality of bands using covariance calculation. This method may retain the characteristics of multispectral data; which contribute most to its variance. In this study; PCA was employed to process ASTER visible and shortwave infrared band. The PCA of ASTER bands 1; 2; 3; and 8 were used to extract areas of OH altered rocks. The hydrothermal altered zones identified by image processing were analyzed in detail along with geological maps. Finally result of analysis was compared with the out crop of GSI map

Keywords: FLAASH, PCA, Filtering, Copper ore mines, kernel etc