SAR Target Incremental Recognition Based on Features With Strong Separability
Author:
Affiliation:
1. School of Electronic and Information Engineering, Beihang University, Beijing, China
2. Centre of AI and Robotics, Edinburgh Napier University, Edinburgh, U.K.
3. Department of Informatics, University of Leicester, Leicester, U.K.
Funder
National Natural Science Foundation of China
U.K. Engineering and Physical Sciences Research Council
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10385196.pdf?arnumber=10385196
Reference41 articles.
1. A Sidelobe-Aware Small Ship Detection Network for Synthetic Aperture Radar Imagery
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3. What Catch Your Attention in SAR Images: Saliency Detection Based on Soft-Superpixel Lacunarity Cue
4. A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition
5. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
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