Automatic target recognition

Automatic target recognition

Schachter, Bruce Jay
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"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 teraflopchips will enable transformative military designs"-- 
Abstract: 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. 
카테고리:
년:
2018
판:
Third edition
출판사:
SPIE Press
언어:
english
페이지:
307
ISBN 10:
1510618597
ISBN 13:
9781510618596
시리즈:
Tutorial texts in optical engineering TT 118
파일:
PDF, 47.37 MB
IPFS:
CID , CID Blake2b
english, 2018
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