An Enhanced Residual Feature Fusion Network Integrated with a Terrain Weight Module for Digital Elevation Model Super-Resolution

The scale of digital elevation models (DEMs) is vital for terrain analysis, surface simulation, and other geographic applications. Compared to traditional super-resolution (SR) methods, deep convolutional neural networks (CNNs) have shown great success in DEM SR. However, in terms of these CNN-based...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Guodong Chen, Yumin Chen, John P. Wilson, Annan Zhou, Yuejun Chen, Heng Su
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Subjects:	digital elevation models terrain features fusion of residual features super-resolution
Online Access:	https://www.mdpi.com/2072-4292/15/4/1038