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Research Article | Open Access |

Discrimination Method between Prolate and Oblate Shapes of Leaves Based on Polarization Characteristics Measured with Polarization Film Attached Cameras

Author 1: Kohei Arai
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 12 · Published 2013

DOI: https://doi.org/10.14569/IJARAI.2013.021203

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Abstract

Method for discrimination between prolate and oblate shapes of leaves based on polarization characteristics is proposed Method for investigation of polarization characteristics of leaves by means of Monte Carlo Ray Tracing: MCRT is also proposed. Validity of the proposed discrimination method is confirmed with MCRT simulations. Also field experiments are conducted. Through field experiments at the tea estates situated in Saga prefecture, a validity of the proposed method is confirmed. Also discrimination between prolate and oblate shapes of leaves is attempted. The results show that the proposed method is valid and discrimination can be performed.

Keywords

polarization Monte Carlo Ray Tracing prolate and oblate shapes of leaves

How to Cite this Article

Arai, K. (2013). Discrimination Method between Prolate and Oblate Shapes of Leaves Based on Polarization Characteristics Measured with Polarization Film Attached Cameras. International Journal of Advanced Research in Artificial Intelligence, 2(12). https://doi.org/10.14569/IJARAI.2013.021203

Arai, Kohei. "Discrimination Method between Prolate and Oblate Shapes of Leaves Based on Polarization Characteristics Measured with Polarization Film Attached Cameras." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 12, 2013, https://doi.org/10.14569/IJARAI.2013.021203.

@article{Arai2013,
  title     = {Discrimination Method between Prolate and Oblate Shapes of Leaves Based on Polarization Characteristics Measured with Polarization Film Attached Cameras},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {12},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJARAI.2013.021203},
  url       = {https://doi.org/10.14569/IJARAI.2013.021203}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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