Investigating the effects of bistatic SAR phenomenology on feature extraction-Reference-Cited by-同舟云学术

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Investigating the effects of bistatic SAR phenomenology on feature extraction

Published:2020-04 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Radar Conference (RADAR)
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Author:

Woollard Michael,Ritchie Matthew,Griffiths Hugh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9109357/9114538/09114766.pdf?arnumber=9114766

Cited by 4 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. Automatic Target Detection with Monostatic-Bistatic MiniSAR and Infrared Sensor Data Fusion;2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS);2024-04-12

2. Out-of-Library SAR Target Recognition with Deep Learning from Synthetic Data and Multiview Information Fusion;2023 24th International Radar Symposium (IRS);2023-05-24

3. SARCASTIC v2.0—High-Performance SAR Simulation for Next-Generation ATR Systems;Remote Sensing;2022-05-27

4. Dark Area Classification From Airborne SAR Images Based on Deep Margin Learning;IEEE Access;2021

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