U²PNet: An Unsupervised Underwater Image-Restoration Network Using Polarization-Reference-Cited by-同舟云学术

U²PNet: An Unsupervised Underwater Image-Restoration Network Using Polarization

Published:2024-09 Issue:9 Volume:54 Page:5164-5177
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Shen Linghao¹^ORCID,Xia Haisheng²^ORCID,Zhang Xun¹^ORCID,Zhao Yongqiang¹^ORCID,Li Ning³,Kong Seong G.⁴^ORCID,Wang Binglu¹^ORCID,Li Zhijun²^ORCID

Affiliation:

1. School of Automation, Northwestern Polytechnical University, Xi’an, China

2. Translational Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Mechanical Engineering, Tongji University, Shanghai, China

3. Department of Automation, Tsinghua University, Beijing, China

4. Department of Computer Engineering, Sejong University, Seoul, South Korea

Funder

National Natural Science Foundation of China

Postdoctoral Science Foundation of China

Fourth Special Grant of China Postdoctoral Science Foundation

Anhui Provincial Natural Science Foundation

Key Research and Development Plan of Shaanxi Province

University Synergy Innovation Program of Anhui Province

State Key Laboratory of Mechanical System and Vibration

Science, Technology and Innovation Commission of Shenzhen Municipality

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221036/10646531/10454091.pdf?arnumber=10454091

Reference95 articles.

1. Dynamic Target Tracking Control of Autonomous Underwater Vehicle Based on Trajectory Prediction

2. Bio-Inspired Approach for Long-Range Underwater Navigation Using Model Predictive Control

3. Dynamic Task Assignment and Path Planning of Multi-AUV System Based on an Improved Self-Organizing Map and Velocity Synthesis Method in Three-Dimensional Underwater Workspace

4. Distributed Robust Learning-Based Backstepping Control Aided With Neurodynamics for Consensus Formation Tracking of Underwater Vessels

5. Editorial: Robotic intelligence and automation

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