Deep learning for radar and communications automatic target recognition

"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 histor...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Majumder, Uttam K. (Autor), Garren, David A. (Autor), Blasch, Erik P. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norwood, MA Artech House [2020]
Colección:Artech House radar library.
Temas:
Machine learning.
Artificial intelligence.
Synthetic aperture radar.
Remote sensing.
Artificial Intelligence
Remote Sensing Technology
Machine Learning
Apprentissage automatique.
Intelligence artificielle.
Radar à synthèse d'ouverture.
Télédétection.
artificial intelligence.
remote sensing.
Artificial intelligence
Machine learning
Remote sensing
Synthetic aperture radar
Acceso en línea:Texto completo
Descripción
Sumario:"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."--Amazon.com
Descripción Física:1 online resource (xvii, 294 pages) illustrations (black and white)
Bibliografía:Includes bibliographical references and index
ISBN:9781630816391
1630816396

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