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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Xehetasun bibliografikoak

Egile Nagusiak:	Jinghuai Yao, Puyuan Du, Yucheng Zhao, Yubo Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2025-01-01
Saila:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Gaiak:	Advanced Himawari imager (AHI) clouds conditional generative adversarial network (CGAN) deep learning nighttime tropical cyclone (TC)
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/10988561/
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