Abstract: Thresholding based method for rainy cloud detection with NOAA/AVHRR data by means of Jacobi iteration method is proposed. Attempts of the proposed method are made through comparisons to truth data which are provided by Japanese Meteorological Agency: JMA which is derived from radar data. Although the experimental results show not so good regressive performance, new trials give some knowledge and are informative. Therefore, the proposed method suggests for creation of new method for rainfall area detection with visible and thermal infrared imagery data.

Kohei Arai, “Thresholding Based Method for Rainy Cloud Detection with NOAA/AVHRR Data by Means of Jacobi Itteration Method” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 5(6), 2016. http://dx.doi.org/10.14569/IJARAI.2016.050605

@article{Arai2016,
title = {Thresholding Based Method for Rainy Cloud Detection with NOAA/AVHRR Data by Means of Jacobi Itteration Method},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.050605},
url = {http://dx.doi.org/10.14569/IJARAI.2016.050605},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {6},
author = {Kohei Arai}
}