Ship detection based on a superpixel-level CFAR detector for SAR imagery

Author:

Xie Tao1ORCID,Liu Mingxing1,Zhang Mingjiang1,Qi Shuaihui1,Yang Jungang1

Affiliation:

1. College of Information and Communication, National University of Defense Technology, Wuhan City, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

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. Identifying Ships From Radar Blips Like Humans Using a Customized Neural Network;IEEE Transactions on Intelligent Transportation Systems;2024-07

2. Small Target Ship Detection in SAR Images Using an Enhanced Lightweight YOLOv5 Model;2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI);2024-05-24

3. CFAR Detection of ships based on Median Absolute Deviation for SAR imagery in a Heterogeneous Weibull Sea Clutter;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

4. An Incept-TextCNN Model for Ship Target Detection in SAR Range-Compressed Domain;IEEE Geoscience and Remote Sensing Letters;2024

5. Artisanal Mining River Dredge Detection Using SAR: A Method Comparison;Remote Sensing;2023-12-12

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