Automatic target recognition /
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 intel...
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| Format: | eBook |
| Language: | English |
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Bellingham, Washington :
SPIE,
[2016]
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| Series: | SPIE Digital Library.
SPIE tutorial texts ; TT105. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of 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.