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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.
Monte Carlo Based Non-Linear Mixture Model of Earth Observation Satellite Imagery Pixel Data
Digital Object Identifier (DOI) : 10.14569/IJACSA.2012.030804
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 8, 2012.
Abstract: Monte Carlo based non-linear mixel (mixed pixel) model of visible to near infrared radiometer of earth observation satellite imagery is proposed. Through comparative studies with actual real earth observation satellite imagery data between conventional linear mixel model and the proposed non-linear mixel model, it is found that the proposed mixel model represents the pixels in concern much precisely rather than the conventional linear mixel model.
Keywords: remote sensing satellite; visible to near infrared radiometer; mixed pixel: mixel; Monte Carlo simulation model.
Kohei Arai, “Monte Carlo Based Non-Linear Mixture Model of Earth Observation Satellite Imagery Pixel Data” International Journal of Advanced Computer Science and Applications(IJACSA), 3(8), 2012. http://dx.doi.org/10.14569/IJACSA.2012.030804
@article{Arai2012,
title = {Monte Carlo Based Non-Linear Mixture Model of Earth Observation Satellite Imagery Pixel Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030804},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030804},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {8},
author = {Kohei Arai}
}
