Deep Learning for Radar and Communications Automatic Target Recognition
Deep Learning for Radar and Communications Automatic Target Recognition
by Majumder, Blasch, Garren
English | 2020 | ISBN: 163081637X | 313 pages | True PDF | 8.32 MB
This exciting resource identifies technical challenges, benefits, and directions of Deep Learning (DL) based object classification using radar data (i.e., Synthetic Aperture Radar / SAR and High range resolution Radar / HRR data). An overview of machine learning (ML) theory to include a history, background primer, and example and performance of ML algorithm (i.e., DL method) on video imagery is provided. Radar data with issues of collection, application, and examples for SAR/HRR data and communication signals analysis is also discussed. Practical considerations of deploying such techniques, including performance evaluation, hardware issues, and the future unresolved issues are presented.
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