TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution-Reference-Cited by-同舟云学术

TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution

Published:2024 Issue: Volume:62 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Yi¹^ORCID,Jin Shichao²^ORCID,Yang Zekun¹^ORCID,Guan Hongcan³^ORCID,Ren Yu¹^ORCID,Cheng Kai¹^ORCID,Zhao Xiaoqian⁴^ORCID,Liu Xiaoqiang⁴,Chen Mengxi¹,Liu Yu¹^ORCID,Guo Qinghua¹^ORCID

Affiliation:

1. School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China

2. Plant Phenomics Research Centre, Academy for Advanced Interdisciplinary Studies, Collaborative Innovation Centre for Modern Crop Production co-sponsored by Province and Ministry, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, China

3. College of Forestry, Hainan University, Haikou, China

4. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China

Funder

International Research Center of Big Data for Sustainable Development Goals

National Key Research and Development Program

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10418045.pdf?arnumber=10418045

Reference72 articles.

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3. Remote sensing-based mapping for the new generation of Vegetation Map of China (1:500,000)

4. MetroGAN: Simulating Urban Morphology with Generative Adversarial Network

5. Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas

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