Deep Learning for Radar and Communications Automatic Target...

Deep Learning for Radar and Communications Automatic Target Recognition

Uttam K. Majumder (Author), Erik P. Blasch (Author), David A. Garren (Author)
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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.
Tahun:
2020
Penerbit:
Artech Hou
Bahasa:
english
Halaman:
313
ISBN 10:
163081637X
ISBN 13:
9781630816377
Fail:
PDF, 8.32 MB
IPFS:
CID , CID Blake2b
english, 2020
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