Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method

Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method

Lakes have been identified as an important indicator of climate change and a finer lake area can better reflect the changes. In this paper, we propose an effective unsupervised deep gradient network (UDGN) to generate a higher resolution lake area from remote sensing images. By exploiting the power...

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Bibliographic Details
Main Authors: Mengjiao Qin, Linshu Hu, Zhenhong Du, Yi Gao, Lianjie Qin, Feng Zhang, Renyi Liu
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
unsupervised super-resolution
lake
remote sensing
residual network
gradient map
Online Access:https://www.mdpi.com/2072-4292/12/12/1937

Internet

https://www.mdpi.com/2072-4292/12/12/1937

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