Automatic target recognition: state of the Art Survey
Automatic target recognition: state of the Art Survey
A review is presented of the techniques used to solve the automatic target recognition (ATR) problem. Emphasis is on algorithmic and implementation approaches. ATR algorithms such as target detection, segmentation, feature computation, classification, etc., are evaluated and several new quantitative criteria are presented. Evaluation approaches are discussed and various problems encountered in the evaluation of algorithms are addressed. Strategies used in designing the database are outlined. New techniques such as the use of contextual cues, semantic and structural information, and hierarchical reasoning in the classification and incorporation of multisensors in ATR systems are also presented.
Dokumentinformationen
Automatic target recognition: state of the Art Survey
Automatische Zielerkennung: Ueberblick ueber den heutigen Stand
IEEE Transactions on Aerospace and Electronic Systems ; AES-22 , 4 ; 364-379
1986
16 Seiten, 73 Quellen
Aufsatz (Zeitschrift)
Englisch
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