Adaptive Weighting Based on Subimage Sparse Model for SAR Occluded Target Recognition
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/8845834/08731739.pdf?arnumber=8731739
Cited by 6 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. An Enhanced Feature Learning Cnn Using Auto-Encoder for Partially Occluded Target Recognition in Sar Imagery;2024
2. Context - Preserving Instance- Level Augmentation and Deformable Convolution Networks for SAR Ship Detection;2022 IEEE Radar Conference (RadarConf22);2022-03-21
3. Shape-Robust SAR Ship Detection via Context-Preserving Augmentation and Deep Contrastive RoI Learning;IEEE Geoscience and Remote Sensing Letters;2022
4. Recognition of occluded targets in SAR images based on matching of attributed scattering centers;Remote Sensing Letters;2021-07-07
5. Keypoint-Based Local Descriptors for Target Recognition in SAR Images: A Comparative Analysis;IEEE Geoscience and Remote Sensing Magazine;2021-03
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