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.
Author(s): David Blacknell, Hugh D. Griffiths
Series: IET Radar, Sonar and Navigation Series 33
Publisher: The Institution of Engineering and Technology
Year: 2013
Language: English
Pages: xii+280
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
