Target discrimination in synthetic aperture radar using artificial neural networks

Author:

Principe J.C.,Kim M.,Fisher M.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 21 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. Generalization in Object Recognition from SAR Imagery;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17

2. DNN-Based Peak Sequence Classification CFAR Detection Algorithm for High-Resolution FMCW Radar;IEEE Transactions on Geoscience and Remote Sensing;2022

3. GPU-Oriented Designs of Constant False Alarm Rate Detectors for Fast Target Detection in Radar Images;IEEE Transactions on Geoscience and Remote Sensing;2022

4. Keypoint-Based Local Descriptors for Target Recognition in SAR Images: A Comparative Analysis;IEEE Geoscience and Remote Sensing Magazine;2021-03

5. Review of recent advances in AI/ML using the MSTAR data;Algorithms for Synthetic Aperture Radar Imagery XXVII;2020-05-19

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