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. N� de ref. del art�culo 9781849196857

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T�tulo: Radar Automatic Target Recognition (Atr) and...

Editorial: Institution Of Engineering & Technology Aug 2013

A�o de publicaci�n: 2013

Encuadernaci�n: Buch

Condici�n: Neu

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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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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.

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