Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR)

book image

IET Digital Library

This title is available electronically through the IET Digital Library

  • Author:

  • Year: 2013

  • Format: Hardback

  • Product Code: PBRA0330

  • ISBN: 978-1-84919-685-7

  • Pagination: 296 pp.

  • Stock Status: In stock

£73.45 Member price

£113.00 Full price


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.

Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) captures material presented by leading international experts at the NATO SET-172 lecture series which provided an overview of the state-of-the-art and continuing challenges of radar target recognition, both automatic (ground) and non-cooperative (air). 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
• Challenges and directions for future research

About the editors

Hugh Griffiths holds the THALES/Royal Academy Chair of RF Sensors in the Department of Electronic and Electrical Engineering at University College London, UK, where his research interests include radar sensor systems and signal processing as well as antennas and antenna measurement techniques. In 2012 he was awarded the A F Harvey Engineering Research Prize by the IET.  

David Blacknell currently works at Dstl and is 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 and he is a recognised international expert on radar image exploitation.

Book readership

Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) is essential reading for academic, industrial and military radar researchers, students and engineers worldwide.


PDF Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) (187 k)

Book contents

1 Introduction

  • Motivation
  • Definitions and acronyms
  • Scope of book

2 Automatic target recognition of ground targets

  • Introduction
  • SAR phenomenology
  • The ATR processing chain
  • Use of contextual information in target detection
  • Databases and modelling
  • Performance assessment
  • Conclusions

3 Automatic recognition of air targets

  • Introduction
  • Fundamentals of the target recognition process
  • Jet engine recognition
  • Helicopter recognition
  • Range-Doppler imaging
  • Aircraft target recognition conclusions

4 Radar ATR of maritime targets

  • Introduction
  • The use of high range resolution (HRR) profiles for ATR
  • The derivation of ATR features from HRR profiles
  • Ship ATR under the influence of multipath
  • Results
  • The mitigation of multipath effects on ship ATR
  • Summary

5 Effects of image quality on target recognition

  • Introduction
  • Improving ATR performance via PGA image quality enhancement
  • Improving ATR performance using high resolution,PWF-processed full-polarisation SAR data
  • Improving ATR performance via high-definition image processing
  • Reconstruction of interrupted SAR imagery
  • Summary and conclusions

6 Comparing classifier effectiveness

  • Introduction
  • NCTI studies
  • Measurements
  • Idea of classification
  • Classification scheme
  • Feature extraction
  • Conclusion

7 Biologically inspired and multi-perspective target recognition

  • Introduction
  • Biologically inspired NCTR
  • Acoustic micro-Doppler
  • Multi-aspect NCTR
  • Summary

8 Radar applications of compressive sensing

  • Introduction
  • Principles of compressive sensing
  • Reconstruction algorithms
  • Jet engine modulation
  • Inverse synthetic aperture radar
  • Conclusions

9 Advances in SAR change detection

  • Introduction
  • An analysis of the CCD algorithm
  • Results using the ‘universal image quality index’
  • Performance comparison of change detection algorithms
  • Summary and conclusions

10 Future challenges

  • Introduction
  • Future challenges
Powered by Google
Search the full text of this book