Remote sensing monitoring of seagrass bed dynamics using cross-temporal-spatial domain transfer learning in Yellow river Delta-Reference-Cited by-同舟云学术

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Remote sensing monitoring of seagrass bed dynamics using cross-temporal-spatial domain transfer learning in Yellow river Delta

Published:2024-03-07 Issue:6 Volume:45 Page:1972-1996
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Meng Ziyue¹²,Hu Yabin¹,Ren Guangbo¹³,Zhu Wenqing¹,Wang Jianbu¹,Liu Shanwei²^ORCID,Ma Yi¹

Affiliation:

1. Lab of Marine Physics and Remote Sensing, First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China

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

3. Qingdao Key Laboratory of Spatial Information Dynamic Perception and Smart Cartography in the Yellow River Basin (Shandong), Qingdao, China

Funder

National Key Research and Development Program funding project

National Natural Science Foundation of China

China High-Resolution Earth Observation System Program

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2321467

Reference37 articles.

1. SegFormer: A Topic Segmentation Model with Controllable Range of Attention

2. Multi-temporal change detection of seagrass beds using integrated Landsat TM/ETM+/OLI imageries in Cam Ranh Bay, Vietnam

3. Xception: Deep Learning with Depthwise Separable Convolutions

4. Biodiversity and the functioning of seagrass ecosystems

5. Seagrass ecosystems as a globally significant carbon stock

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