Deep Learning for Radar and Communications Automatic Target Recognition
Uttam K. Majumder (Author), Erik P. Blasch (Author), David A. Garren (Author)
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:
,
english, 2020