Abstract: 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.

Kohei Arai , “Multi Spectral Image Classification Method with Selection of Independent Spectral Features through Correlation Analysis ” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(8), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020804

@article{2013,
title = {Multi Spectral Image Classification Method with Selection of Independent Spectral Features through Correlation Analysis },
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020804},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020804},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {8},
author = {Kohei Arai }
}