SARFish: Space-Based Maritime Surveillance Using Complex Synthetic Aperture Radar Imagery
Author:
Affiliation:
1. Defence Science & Technology Group,Adelaide,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10034558/10034559/10034640.pdf?arnumber=10034640
Reference27 articles.
1. Deep Residual Learning for Image Recognition
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3. Deep Pyramidal Residual Networks
4. Performance of a high-resolution polarimetric SAR automatic target recognition system;novak;Lincoln Laboratory Journal,1993
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. The SARFish Dataset and Challenge;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01
2. An SAR Imaging and Detection Model of Multiple Maritime Targets Based on the Electromagnetic Approach and the Modified CBAM-YOLOv7 Neural Network;Electronics;2023-11-28
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