GrIS-MDM: A Hydrology Knowledge-Based Framework Combining Deep Learning Network for Moulin Detection Using Ultrahigh-Resolution UAV Imagery-Reference-Cited by-同舟云学术

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GrIS-MDM: A Hydrology Knowledge-Based Framework Combining Deep Learning Network for Moulin Detection Using Ultrahigh-Resolution UAV Imagery

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Pengfei¹^ORCID,Chen Rui¹^ORCID,Cheng Xiao¹^ORCID,Yang Kang²,Chen Zhuoqi¹^ORCID

Affiliation:

1. School of Geospatial Engineering and Science, Sun Yat-sen University, and the Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China

2. School of Geography and Ocean Science and Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10589909.pdf?arnumber=10589909

Reference62 articles.

1. Ice-sheet contributions to future sea-level change

2. Evaluation of animal and plant diversity suggests Greenland’s thaw hastens the biodiversity crisis

3. Greenland climate change: from the past to the future

4. Mass balance of the Greenland Ice Sheet from 1992 to 2018

5. Quantifying Surface Melt and Liquid Water on the Greenland Ice Sheet using L-band Radiometry

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