Digital Surface Model Super-Resolution by Integrating High-Resolution Remote Sensing Imagery Using Generative Adversarial Networks

Digital Surface Model Super-Resolution by Integrating High-Resolution Remote Sensing Imagery Using Generative Adversarial Networks

Digital surface model (DSM) is the fundamental data in various geoscience applications, such as city 3-D modeling and urban environment analysis. The freely available DSM often suffers from limited spatial resolution. Super-resolution (SR) is a promising technique to increase the spatial resolution...

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Bibliographic Details
Main Authors: Guihou Sun, Yuehong Chen, Jiamei Huang, Qiang Ma, Yong Ge
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Digital surface model (DSM)
generative adversarial networks (GANs)
remote sensing imagery
slope loss
super-resolution (SR)
Online Access:https://ieeexplore.ieee.org/document/10528671/

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https://ieeexplore.ieee.org/document/10528671/

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