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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Detalhes bibliográficos

Principais autores:	Jinghuai Yao, Puyuan Du, Yucheng Zhao, Yubo Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Advanced Himawari imager (AHI) clouds conditional generative adversarial network (CGAN) deep learning nighttime tropical cyclone (TC)
Acesso em linha:	https://ieeexplore.ieee.org/document/10988561/
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