Artech House announced the release Deep Learning for Radar and Communications Automatic Target Recognition by Uttam K. Majumder, Erik P. Blasch and David A. Garren. 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.
Deep Learning for Radar and Communications Automatic Target Recognition is available now from Artech House, a leading publisher of books for professionals in high-technology industries.