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Multi spectral image classification method with selection processes of independent spectral features through correlation analysis is proposed. The proposed method is validated by applying to the polarimetric Synthetic Aperture Radar: SAR data. Also Probability Distribution Function: PDF for of features are checked and confirmed the most independent PDF allows greatest classification performance.

Multi Spectral Image Classification Method with Selection of Independent Spectral Features through Correlation Analysis