Impact of Satellite Sounding Data on Virtual Visible Imagery Generation Using Conditional Generative Adversarial Network

The visible band of satellite sensors is of limited use during the night due to a lack of solar reflection. This study presents an improved conditional generative adversarial networks (CGANs) model to generate virtual nighttime visible imagery using infrared (IR) multiband satellite observations and...

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Autori principali:	Ji-Hye Kim, Sumin Ryu, Jaehoon Jeong, Damwon So, Hyun-Ju Ban, Sungwook Hong
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2020-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Clouds conditional generative adversarial network (CGAN) deep learning multiband nighttime typhoon
Accesso online:	https://ieeexplore.ieee.org/document/9154540/
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