A Decoupled Head and Coordinate Attention Detection Method for Ship Targets in SAR Images

Author:

Li Qinzuo1,Xiao Dengjun1ORCID,Shi Fangying2ORCID

Affiliation:

1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China Youth Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 7 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. SAR ship detection method in complex scenes based on enhanced VarifocalNet;International Conference on Remote Sensing, Surveying, and Mapping (RSSM 2024);2024-06-03

2. FESAR: SAR ship detection model based on local spatial relationship capture and fused convolutional enhancement;Machine Vision and Applications;2024-03

3. Detection of SAR Image Multiscale Ship Targets in Complex Inshore Scenes Based on Improved YOLOv5;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. A Ship Target Intelligent Detection Algorithm Based on Improved YOLOv5s;Lecture Notes in Electrical Engineering;2024

5. A real-time object detection method for underwater complex environments based on FasterNet-YOLOv7;Journal of Real-Time Image Processing;2023-12-12

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