Multi-Branch Deep Neural Network for Bed Topography of Antarctica Super-Resolution: Reasonable Integration of Multiple Remote Sensing Data

Multi-Branch Deep Neural Network for Bed Topography of Antarctica Super-Resolution: Reasonable Integration of Multiple Remote Sensing Data

Bed topography and roughness play important roles in numerous ice-sheet analyses. Although the coverage of ice-penetrating radar measurements has vastly increased over recent decades, significant data gaps remain in certain areas of subglacial topography and need interpolation. However, the bed topo...

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Bibliographic Details
Main Authors: Yiheng Cai, Fuxing Wan, Shinan Lang, Xiangbin Cui, Zijun Yao
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
subglacial topography
super resolution
generative adversarial network
deep learning
Online Access:https://www.mdpi.com/2072-4292/15/5/1359

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https://www.mdpi.com/2072-4292/15/5/1359

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