PROPOSAL OF A NEW SATELLITE RAINFALL HIDREDV2 BASED ON DEEP LEARNING USING THE GEOSTATIONARY METEOROLOGICAL SATELLITE HIMAWARI

Presentation information

Oral_Session _ Technology and system for management

[S10] Management techniques and methods

Mon. Dec 11, 2023 1:30 PM - 3:30 PM Room6 (the Nakanoshima Museum of Art)

Chair:MAKOTO NAKATSUGAWA Chair2:KEISUKE ONO(Tohoku Institute of Technology)

2:30 PM - 2:45 PM

*Kansei FUJIMOTO¹, Taichi TEBAKARI² (1. 中央大学大学院理工学研究科、2. 中央大学理工学部都市環境学科)

Keywords:brightness temperature、deep learning、image segmentation、satellite precipitation

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