Target discrimination in synthetic aperture radar using artificial neural networks
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx4/83/15218/00704307.pdf?arnumber=704307
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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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