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Song-Hee Kang, Youngjin Choi and Jae Young Choi    
In this paper, we propose a novel deep generative inpainting network (GIN) trained under the framework of generative adversarial learning, which is optimized for the restoration of cloud-disturbed satellite sea surface temperature (SST) imagery. The prop... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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