Fishing Vessel Classification in SAR Images Using a Novel Deep Learning Model-Reference-Cited by-同舟云学术

Fishing Vessel Classification in SAR Images Using a Novel Deep Learning Model

Published:2023 Issue: Volume:61 Page:1-21
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Guan Yanan¹^ORCID,Zhang Xi¹^ORCID,Chen Siwei²^ORCID,Liu Genwang¹,Jia Yongjun³^ORCID,Zhang Yi³,Gao Gui⁴^ORCID,Zhang Jie¹^ORCID,Li Zhongwei⁵^ORCID,Cao Chenghui¹^ORCID

Affiliation:

1. First Institute of Oceanography and the Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources of China, Qingdao, China

2. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information Systems, National University of Defense Technology, Changsha, China

3. National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing, China

4. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China

5. College of Oceanography and Space Informatics, China University of Petroleum, Qingdao, China

Funder

National Natural Science Foundation of China

Foundation of Equipment Pre-Research Area

National Defense Science and Technology Basic Enhancement Program

Shandong Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10242360.pdf?arnumber=10242360

Reference81 articles.

1. Spaceborne Synthetic Aperture Radar Imaging Algorithms: An Overview

2. Tuning model parameters in class‐imbalanced learning with precision‐recall curve

3. Using AIS to Attempt a Quantitative Evaluation of Unobserved Trawling Activity in the Mediterranean Sea

4. Stochastic gradient descent with differentially private updates

5. Illuminating dark fishing fleets in North Korea

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