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International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 5, 2013.
Abstract: Unmixing method for estimation of mixing ratio of the components of which the pixel in concern consists based on inversion theory is proposed together with its application to sea ice estimation method with satellite based visible to near infrared radiometer data. Through comparative study on the different unmixing methods with remote sensing satellite imagery data, it is found that the proposed inversion theory based unmixing method is superior to the other methods. Also it is found that the proposed unmixing method is applicable to sea ice concentration estimations.
Kohei Arai, “Sea Ice Concentration Estimation Method with Satellite Based Visible to Near Infrared Radiometer Data Based on Category Decomposition” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(5), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020502
@article{Arai2013,
title = {Sea Ice Concentration Estimation Method with Satellite Based Visible to Near Infrared Radiometer Data Based on Category Decomposition},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020502},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020502},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {5},
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.