Brain-Inspired Fast Saliency-Based Filtering Algorithm for Ship Detection in High-Resolution SAR Images
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09349452.pdf?arnumber=9349452
Cited by 8 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. WDFA-YOLOX: A Wavelet-Driven and Feature-Enhanced Attention YOLOX Network for Ship Detection in SAR Images;Remote Sensing;2024-05-15
2. Curvature-based Feature Representation for Ship Detection in SAR Image;Progress In Electromagnetics Research Letters;2024
3. Subpixel Feature Pyramid Network for Multiscale Ship Detection in Synthetic Aperture Radar Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
4. Fast Candidate Region Extraction for SAR Ship Target;2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2022-11-19
5. Object Detection Model Based on Dual Visual Pathway;2022 14th International Conference on Wireless Communications and Signal Processing (WCSP);2022-11-01
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