Simulating Nighttime Visible Satellite Imagery of Tropical Cyclones Using Conditional Generative Adversarial Networks

Visible (VIS) imagery is important for monitoring tropical cyclones (TCs) but is unavailable at night. This study presents a conditional generative adversarial networks model to generate nighttime VIS imagery with significantly enhanced accuracy and spatial resolution. Our method offers three key im...

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Autors principals:	Jinghuai Yao, Puyuan Du, Yucheng Zhao, Yubo Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Advanced Himawari imager (AHI) clouds conditional generative adversarial network (CGAN) deep learning nighttime tropical cyclone (TC)
Accés en línia:	https://ieeexplore.ieee.org/document/10988561/
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