Automatic target recognition / Bruce J. Schachter.

Format:

Book

Author/Creator:

Schachter, Bruce J. (Bruce Jay), 1946- author.

Contributor:

Society of Photo-Optical Instrumentation Engineers, publisher.

Series:

Tutorial texts in optical engineering ; TT105.

SPIE digital library

Tutorial texts in optical engineering ; volume TT 105

Language:

English

Subjects (All):

Radar targets.

Optical pattern recognition.

Algorithms.

Image processing.

Genre:

Electronic books.

Physical Description:

1 online resource (254 pages) : illustrations.

Place of Publication:

Bellingham, Washington : SPIE, [2016]

System Details:

Mode of access: World Wide Web.

text file

Summary:

This work provides an inside view of the Automatic Target Recognition (ATR) field, from an engineer working in the field for 40 years. In many ways ATR advances follow the march of technology, including digital electronics, unmanned systems, computer vision, pattern recognition, and artificial intelligence. Algorithm descriptions and testing procedures are provided in the text. Although some of these techniques are similar to what can be found in the academic and commercial sectors, an academic or commercial perspective is inadequate to tackle the military problem. This book covers unique aspects and considerations in the design, testing and fielding of ATR systems. These aspects need to be understood by ATR engineers working in the defense industry as well as their government customers. The final chapter discusses the future of ATR. It provides a type of Turing Test for determining if an ATR is truly smart (neuromorphic or brain-like). The Appendix reveals difficult to find resources available to the "ATR engineer."

Contents:

Preface

1. Definitions and performance measures; 1.1. What is automatic target recognition (ATR)? 1.2. Basic definitions; 1.3. Detection criteria; 1.4. Performance measures for target detection; 1.5. Classification criteria; 1.6. Experimental design; 1.7. Characterizations of ATR hardware/software; References

2. Target detection strategies: 2.1. Introduction; 2.2. Simple detection algorithms; 2.3. More-complex detectors; 2.4. Grand paradigms; 2.5. Traditional SAR and hyperspectral target detectors; 2.6. Conclusions and future direction; References; Appendices

3. Target classifier strategies: 3.1. Introduction; 3.2. Main issues to consider in target classification; 3.3. Feature extraction; 3.4. Feature selection; 3.5. Examples of feature types; 3.6. Examples of classifiers; 3.7. Discussion; References

4. Unification of automatic target tracking and automatic target recognition: 4.1. Introduction; 4.2. Categories of tracking problems; 4.3. Tracking problems; 4.4. Extensions of target tracking; 4.5. Collaborative ATT and ATR; 4.6. Unification of ATT and ATR; 4.7. Discussion; References

5. How smart is your automatic target recognizer? 5.1. Introduction; 5.2. Test for determining the intelligence of an ATR; 5.3. Sentient versus sapient ATR; 5.4. Discussion: where is ATR headed? References

Appendix 1: Resources

Appendix 2: Acronyms

Index.

Notes:

"SPIE Digital Library."--Website.

Includes bibliographical references and index.

Title from PDF title page (SPIE eBooks Website, viewed 2016-03-16).

Other Format:

Print version

ISBN:

9781510600348

1510600345

OCLC:

944927772

Access Restriction:

Restricted for use by site license.