SRT-Net: Scattering Region Topology Network for Oriented Ship Detection in Large-Scale SAR Images
Author:
Affiliation:
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
National Nature Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10384614.pdf?arnumber=10384614
Reference45 articles.
1. Fishing Vessel Classification in SAR Images Using a Novel Deep Learning Model
2. Evaluation and Improvement of Generalization Performance of SAR Ship Recognition Algorithms
3. An Anchor-Free Detection Method for Ship Targets in High-Resolution SAR Images
4. A sea-land segmentation scheme based on statistical model of sea
5. Baltic Sea ice SAR segmentation and classification using modified pulse-coupled neural networks
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1. DPGUNet: A Dynamic Pyramidal Graph U-Net for SAR Image Classification;IEEE Transactions on Aerospace and Electronic Systems;2024-08
2. A Weak Supervision Learning Paradigm for Oriented Ship Detection in SAR Image;IEEE Transactions on Geoscience and Remote Sensing;2024
3. Oriented-DINO: Angle Decoupling Prediction and Consistency Optimizing for Oriented Detection Transformer;IEEE Transactions on Geoscience and Remote Sensing;2024
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