An Image Similarity Evaluation in Rainfall Forecasting Model

Authors

  • Prattana Deeprasertkul Technology and Digital Development Division Hydro – Informatics Institute (Public Organization) Bangkok, Thailand

DOI:

https://doi.org/10.24203/ijcit.v9i5.47

Keywords:

Image Similarity; Image Matching; Rainfall Forecasing

Abstract

The Global Satellite Mapping of Precipitation or GSMaP data which is used to display the rainfall data was used to analyze and create the rainfall forecasting model. This work is the evaluation of this rainfall forecasting model which is the short-term forecast. The GSMaP forecasting data were matched with the GSMaP history data and calculate their similarity values by applying the original image matching method. The modification of Rainfall Forecasting Model and its evaluation that applied the original image instead of the image hash improve the accuracy of rainfall forecasted results.

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Published

2020-09-30

How to Cite

Deeprasertkul, P. (2020). An Image Similarity Evaluation in Rainfall Forecasting Model. International Journal of Computer and Information Technology(2279-0764), 9(5). https://doi.org/10.24203/ijcit.v9i5.47