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International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 8, 2013.
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 }
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.