DeepSeaNet: A Bio-Detection Network Enabling Species Identification in the Deep Sea Imagery-Reference-Cited by-同舟云学术

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DeepSeaNet: A Bio-Detection Network Enabling Species Identification in the Deep Sea 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:

Liu Aiyue¹^ORCID,Liu Yuhai¹,Xu Kuidong²,Zhao Feng²^ORCID,Zhou Yuan³^ORCID,Li Xiaofeng¹^ORCID

Affiliation:

1. Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Center for Ocean Mega-Science, CAS, Qingdao, China

2. Laboratory of Marine Organism Taxonomy and Phylogeny, Institute of Oceanology, CAS, Qingdao, China

3. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China (NSFC) Innovative Group

China-Portugal Xinghai Joint Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10415449.pdf?arnumber=10415449

Reference43 articles.

1. A Review of the Effects of Seamounts on Biological Processes

2. The Ecology of Seamounts: Structure, Function, and Human Impacts

3. The Global Seamount Census

4. Deep-sea organisms research oriented by deep-sea technologies development

5. Beta diversity and taxonomic sufficiency: Do higher-level taxa reflect heterogeneity in species composition?

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