Automatic target recognition
By: Bruce J. Schachter
Contributors: Society of Photo-optical Instrumentation Engineers
Edition: Second edition.
Series: Tutorial texts in optical engineering -- volume TT 113; SPIE tutorial texts -- TT113.
Publisher: SPIE
Published: 2017
Place of publication: Bellingham, Washington
Language: eng
Number of pages: 284
ISBN-13: 9781523112807; 9781510611283; 9781510611276; 9781510611290; 9781510611306
Copyright date: 2017
Subjects: Radar targets; Optical pattern recognition; Algorithms; Image processing; Computer algorithms; Cibles radars; Reconnaissance optique des formes (Informatique); Algorithmes; Traitement d'images
Description: "This updated edition of the Tutorial Text on Automatic Target Recognition provides an inside view of the automatic target recognition (ATR) field from the perspective of an engineer working in the field for 40 years. The algorithm descriptions and testing procedures covered in the book are appropriate for addressing military problems. The book also addresses unique aspects and considerations in the design, testing, and fielding of ATR systems. These considerations need to be understood by ATR engineers working in the defense industry as well as by their government customers. A new chapter on the future of ATR presents ATR as system that functions like the human brain. The chapter covers hardware design, algorithm/software design, and potential impacts. The final chapter discusses the future of ATR and provides a type of Turing test for determining if an ATR system is truly smart (neuromorphic or brain-like)"--
Notes: Includes bibliographical references and index.
Table of contents: title: Preface; title: 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; title: 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; title: 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; title: 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 (ATT<->ATR); 4.6. Unification of ATT and ATR (ATT[cup]ATR); 4.7. Discussion; References; title: 5. Next-generation ATR: 5.1. Introduction; 5.2. Hardware design; 5.3. Algorithm/software design; 5.4. Potential impact; References; title: 6. How smart is your automatic target recognizer? 6.1. Introduction; 6.2. Test for determining the intelligence of an ATR; 6.3. Sentient versus sapient ATR; 6.4. Discussion: where is ATR headed? References; title: Appendix 1: Resources; title: Appendix 2: Questions to pose to the ATR customer; title: Appendix 3: Acronyms; title: Index.