Deep-Learning-Based Marine Aquaculture Zone Extractions From Dual-Polarimetric SAR Imagery-Reference-Cited by-同舟云学术

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Deep-Learning-Based Marine Aquaculture Zone Extractions From Dual-Polarimetric SAR Imagery

Published:2024 Issue: Volume:17 Page:8043-8057
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Chen Wantai¹^ORCID,Li Xiaofeng²^ORCID

Affiliation:

1. Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China

2. Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, and the Center for Ocean Mega- Science, Chinese Academy of Sciences, Qingdao, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Strategic Priority Research

Chinese Academy of Sciences

Natural Science Foundation of Shandong Province

Key Research and Development Program of Shandong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10490092.pdf?arnumber=10490092

Reference73 articles.

1. Global change in marine aquaculture production potential under climate change

2. Mapping the global potential for marine aquaculture

3. Green and golden seaweed tides on the rise

4. Who made the world's largest green tide in China?-an integrated study on the initiation and early development of the green tide in Yellow Sea

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