GCU-Net: Remote Sensing Classification Method for Coral Reef Geomorphology Integrating Geospatial Cognition-Reference-Cited by-同舟云学术

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GCU-Net: Remote Sensing Classification Method for Coral Reef Geomorphology Integrating Geospatial Cognition

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhang Feifei¹^ORCID,Hu Yabin²^ORCID,Ma Yi²^ORCID,Ren Guangbo³,Li Zhongwei¹^ORCID,Bao Yuhai⁴

Affiliation:

1. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China

2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China

3. Key Laboratory of Marine Environment Detection Technology and Application, Ministry of Natural Resources, Guangzhou, China

4. College of Geographical Science, Inner Mongolia Normal University, Hohhot, China

Funder

National Key Research and Development Plan

Open Project of Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources China

China High-Resolution Earth Observation System Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10540603.pdf?arnumber=10540603

Reference20 articles.

1. Regional-Scale Assembly Rules and Biodiversity of Coral Reefs

2. High-resolution habitat and bathymetry maps for 65,000 sq. km of Earth’s remotest coral reefs

3. The Assessment of Coral Reefs Mapping Methodology: An Integrated Method Approach

4. Progress of the study on coral reef remote sensing

5. Spectral Signatures of Coral Reefs Features from Space

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