Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) (Radar, Sonar and Navigation) - Hardcover

Hardcover

ISBN 10: 1849196850 ISBN 13: 9781849196857

Publisher: Institution of Engineering and Technology, 2013

Synopsis

"Radar Automatic Target Recognition (ATR) and NonCooperative Target Recognition (NCTR)" captures material presented by leading international experts at a NATO lecture series and 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. 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, although steady progress has been made over the past couple of decades. This book 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. Topics include: the problem as applied to the ground, air and maritime domains; impact of image quality on the overall target recognition performance; performance of different approaches to the classifier algorithm; improvement in performance to be gained when a target can be viewed from more than one perspective; ways in which natural systems perform target recognition; impact of compressive sensing; advances in change detection, including coherent change detection; and challenges and directions for future research.

About this title

Product Description

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.

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. Hugh Griffiths holds the THALES/Royal Academy Chair of RF Sensors in the Department of Electronic and Electrical Engineering at University College London, UK, and serves as President of the IEEE AES Society for 2012/13, as Editor-in-Chief of the IET Radar, Sonar & Navigation journal, and as a member of the Defence Scientific Advisory Council for the UK Ministry of Defence. In 2012 he was awarded the A F Harvey Engineering Research Prize by the IET.

Edition details

• Publisher: Institution of Engineering and Technology
• Publication date: 2013
• ISBN 10: 1849196850
• ISBN 13: 9781849196857
• Binding: Hardcover
• Language: English
• Number of pages: 296
• Editor: Blacknell David, Griffiths Hugh