This Tutorial Text 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. 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). The Appendix provides difficult-to-find resources available to the ATR engineer.

Automatic Target Recognition

Engineering & Transportation

Bruce J. Schachter

Engineering

SPIE--The International Society for Optical Engineering

This second edition of 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. 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). New to this edition is a reference design for a next-generation ATR. Coupling a Controller C to a recurrent ATR Model M forms a complete system that is more powerful in many ways than a standard ATR. This next-generation ATR can learn a never-ending sequence of tasks, adapt to unknown environments, and realize abstract planning and reasoning. It is suitable for implementation on two chips: a single, custom, low-power chip (

Automatic Target Recognition: Second Edition (Tutorial Texts) (Tutorial Texts in Optical Engineering)

Science & Math

Physics

"This third edition of Automatic Target Recognition provides a roadmap for breakthrough ATR designs with increased intelligence, performance, and autonomy. Clear distinctions are made between military problems and comparable commercial Deep Learning problems. These considerations need to be understood by ATR engineers working in the defense industry as well as by their government customers. A reference design is provided for a next-generation ATR that can continuously learn from and adapt to its environment. The convergence of diverse forms of data on a single platform supports new capabilities and improved performance. This third edition broadens the notion of ATR to multisensor fusion. Radical continuous-learning ATR architectures, better integration of data sources, well-packaged sensors, and low-power teraflop chips will enable transformative military designs"--

Automatic Target Recognition (Tutorial Texts)

Technology

Society of Photo Optical

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Books by Bruce J. Schachter