LIE-DSM: Leveraging Single Remote Sensing Imagery to Enhance Digital Surface Model Resolution-Reference-Cited by-同舟云学术

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LIE-DSM: Leveraging Single Remote Sensing Imagery to Enhance Digital Surface Model Resolution

Published:2024 Issue: Volume:62 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Siyuan¹,Dong Jingxian¹,Kabika Twaha B.¹^ORCID,Cai Hongsen¹^ORCID,Chervan Aliaksandr²^ORCID,Li Xin³,Hou Wenguang¹^ORCID

Affiliation:

1. Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. Department of Geography and Geographical Sciences, Belarusian State University, Minsk, Belarus

3. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10547030.pdf?arnumber=10547030

Reference53 articles.

1. Synthetic Aperture Radar Interferometry to Measure Earth’s Surface Topography and Its Deformation

2. Extracting urban features from LiDAR digital surface models

3. Spatial interpolation using conditional generative adversarial neural networks

4. CONVOLUTIONAL NEURAL NETWORK BASED DEM SUPER RESOLUTION

5. NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results

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