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International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 9, 2013.
Abstract: Method for unmixing, category decomposition of the mixed pixel (MIXEL) of remote sensing satellite imagery data taking into account the effect due to Bi-Directional Reflectance Distribution Function: BRDF is proposed. Although there is not so small BRDF effect on estimation mixing ratios, conventional unmixing methods do not take into account the effect. Through experiments, the effect is clarified. Also the proposed unmixing method with consideration of BRDF effect is validated.
Kohei Arai , “Bi-Directional Reflectance Distribution Function: BRDF Effect on Un-mixing, Category Decomposition of the Mixed Pixel (MIXEL) of Remote Sensing Satellite Imagery Data” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(9), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020904
@article{2013,
title = {Bi-Directional Reflectance Distribution Function: BRDF Effect on Un-mixing, Category Decomposition of the Mixed Pixel (MIXEL) of Remote Sensing Satellite Imagery Data},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020904},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020904},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {9},
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.