Automatic target recognition /

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"From an engineer designing Automatic Target Recognition (ATR) systems for 40 years, comes this step-by-step guide to producing state-of-the-art ATR systems. The full spectrum of ATR designs are covered, from systems that just suggest targets to the warfighter to ATRs that could serve as the &q...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Schachter, Bruce J. (Bruce Jay), 1946- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bellingham, Washington (1000 20th St. Bellingham WA 98225-6705 USA) : SPIE, 2020.
Edición:Fourth edition.
Colección:SPIE tutorial texts ; TT120.
Temas:
Radar targets.
Optical pattern recognition.
Algorithms.
Image processing.
Computer algorithms.
Cibles radars.
Reconnaissance optique des formes (Informatique)
Algorithmes.
Traitement d'images.
algorithms.
image processing.
Computer algorithms
Algorithms
Image processing
Optical pattern recognition
Radar targets
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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 (ATT<->ATR); 4.6. Unification of ATT and ATR (ATT<->ATR); 4.7. Discussion; References
  • 5. Multisensor fusion: 5.1. Introduction; 5.2. Critical fusion issues related to ATR; 5.3. Levels of fusion; 5.4. Multiclassifier fusion; 5.5. Multisensor fusion based on multiclassifier fusion; 5.6. Test and evaluation; 5.7. Beyond basic ATR fusion; 5.8. Discussion; References
  • 6. Next-generation ATR: 6.1. Introduction; 6.2. Hardware design; 6.3. Algorithm/software design; 6.4. Potential impact; References
  • 7. How smart is your automatic target recognizer? 7.1. Introduction; 7.2. Test for determining the intelligence of an ATR; 7.3. Sentient versus sapient ATR; 7.4. Discussion: where is ATR headed? References
  • 8. ATR and lethal autonomous robots: 8.1. Introduction; 8.2. Lethal autonomous robots; 8.3. ATR and LARs: moral, legal, and ethical perspectives; 8.4. LARs and the OODA loop; 8.5. Should LARs be characterized as AI, ATR, machine learning, neural networks, deep learning, or what? 8.6. LARs: evolutionary or revolutionary? 8.7. Can the LAR's ATR achieve human level performance? 8.8. LARs: what can go wrong? 8.9. Discussion; References
  • Appendix 1: Resources
  • Appendix 2: Questions to pose to the ATR customer
  • Appendix 3: Acronyms and abbreviations
  • Index.

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