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Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) (Radar, Sonar and Navigation) - Hardcover
Synopsis
The ability to detect and locate targets by day or night, over wide areas, regardless of weather conditions has long made radar a key sensor in many military and civil applications. However, the ability to automatically and reliably distinguish different targets represents a difficult challenge. Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) captures material presented in the NATO SET-172 lecture series to provide an overview of the state-of-the-art and continuing challenges of radar target recognition.
Topics covered include the problem as applied to the ground, air and maritime domains; the impact of image quality on the overall target recognition performance; the performance of different approaches to the classifier algorithm; the improvement in performance to be gained when a target can be viewed from more than one perspective; the impact of compressive sensing; advances in change detection; and challenges and directions for future research.
Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) explores both the fundamentals of classification techniques applied to data from a variety of radar modes and selected advanced techniques at the forefront of research, and is essential reading for academic, industrial and military radar researchers, students and engineers worldwide.
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About the Author
David Blacknell is currently a Dstl Fellow and a visiting Professor at University College London. He has worked on a large variety of topics in radar signal and image processing during his career which has included senior technical roles at DERA, QinetiQ, and Cranfield University. He is a recognised international expert on radar image exploitation and has been the recipient of two CSA commendations for contributions to Defence Science and Technology.
"About this title" may belong to another edition of this title.
- PublisherThe Institution of Engineering and Technology
- Publication date2013
- ISBN 10 1849196850
- ISBN 13 9781849196857
- BindingHardcover
- LanguageEnglish
- Number of pages296
- EditorBlacknell David, Griffiths Hugh
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Radar Automatic Target Recognition Atr and Non-cooperative Target Recognition, Nctr
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Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) (Radar, Sonar and Navigation)
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The Institution of Engineering and Technology, 2013
ISBN 10: 1849196850
ISBN 13: 9781849196857
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Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) (Radar, Sonar and Navigation)
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Buch. Condition: Neu. Neuware - The ability to detect and locate targets by day or night, over wide areas, regardless of weather conditions has long made radar a key sensor in many military and civil applications. However, the ability to automatically and reliably distinguish different targets represents a difficult challenge. Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) captures material presented in the NATO SET-172 lecture series to provide an overview of the state-of-the-art and continuing challenges of radar target recognition.Topics covered include the problem as applied to the ground, air and maritime domains; the impact of image quality on the overall target recognition performance; the performance of different approaches to the classifier algorithm; the improvement in performance to be gained when a target can be viewed from more than one perspective; the impact of compressive sensing; advances in change detection; and challenges and directions for future research.Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) explores both the fundamentals of classification techniques applied to data from a variety of radar modes and selected advanced techniques at the forefront of research, and is essential reading for academic, industrial and military radar researchers, students and engineers worldwide. Seller Inventory # 9781849196857
Quantity: 2 available