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Research Article | Open Access |

Monte Carlo Based Non-Linear Mixture Model of Earth Observation Satellite Imagery Pixel Data

Author 1: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 8 · Published 2012

DOI: https://doi.org/10.14569/IJACSA.2012.030804

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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.

How to Cite this Article

Arai, K. (2012). Monte Carlo Based Non-Linear Mixture Model of Earth Observation Satellite Imagery Pixel Data. International Journal of Advanced Computer Science and Applications, 3(8). https://doi.org/10.14569/IJACSA.2012.030804

Arai, Kohei. "Monte Carlo Based Non-Linear Mixture Model of Earth Observation Satellite Imagery Pixel Data." International Journal of Advanced Computer Science and Applications, vol. 3, no. 8, 2012, https://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},
  volume    = {3},
  number    = {8},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2012.030804},
  url       = {https://doi.org/10.14569/IJACSA.2012.030804}
}

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