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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 Ray Tracing Based Adjacency Effect and Nonlinear Mixture Pixel Model for Remote Sensing Satellite Imagery Data Analysis
Digital Object Identifier (DOI) : 10.14569/IJARAI.2013.020610
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 6, 2013.
Abstract: Monte Carlo Ray Tracing: MCRT based adjacency effect and nonlinear mixture pixel model is proposed for remote sensing satellite imagery data analysis. Through simulation and actual visible to near infrared radiometer onboard spaceborne data utilizing experiment, the proposed model is confirmed and validated. Therefore, influences due to adjacency effect and nonlinearity of mixed pixel can be taken into account in the remote sensing satellite imagery data analysis.
Keywords: adjucency effect; nonlinear mixed pixel model; Monte Carlo method; Ray tracing method
Kohei Arai, “Monte Carlo Ray Tracing Based Adjacency Effect and Nonlinear Mixture Pixel Model for Remote Sensing Satellite Imagery Data Analysis” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(6), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020610
@article{Arai2013,
title = {Monte Carlo Ray Tracing Based Adjacency Effect and Nonlinear Mixture Pixel Model for Remote Sensing Satellite Imagery Data Analysis},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020610},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020610},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {6},
author = {Kohei Arai}
}
