Seg2Sonar: A Full-Class Sample Synthesis Method Applied to Underwater Sonar Image Target Detection, Recognition, and Segmentation Tasks-Reference-Cited by-同舟云学术

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Seg2Sonar: A Full-Class Sample Synthesis Method Applied to Underwater Sonar Image Target Detection, Recognition, and Segmentation Tasks

Published:2024 Issue: Volume:62 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Huang Chao¹^ORCID,Zhao Jianhu¹^ORCID,Zhang Hongmei²,Yu Yongcan¹

Affiliation:

1. School of Geodesy and Geomatics and the Institute of Marine Science and Technology, Wuhan University, Wuhan, China

2. Department of Artificial Intelligence and Automation, School of Electrical Engineering and Automation, Wuhan University, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10440265.pdf?arnumber=10440265

Reference53 articles.

1. Underwater object detection using Invert Multi-Class Adaboost with deep learning

2. Dual Refinement Underwater Object Detection Network

3. The Design and Research of Intelligent Search and Rescue Device Based on Sonar Detection and Marine Battery

4. Zero-Shot Pipeline Detection for Sub-Bottom Profiler Data Based on Imaging Principles

5. Shipwreck Statistical Analysis and Suggestions for Ships Carrying Liquefiable Solid Bulk Cargoes in China

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DNTFE-Net: Distant Neighboring-Temporal Feature Enhancement Network for side scan sonar small object detection;Expert Systems with Applications;2024-12

2. An Improved Underwater Visual SLAM through Image Enhancement and Sonar Fusion;Remote Sensing;2024-07-09

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