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- W2010659675 abstract "This paper describes a model based approach to the detection of objects of known geometry in imagery. The algorithm is designed to be used as a front end to an automatic target recognizer. The algorithm uses probes to extract features from the neighborhood of the known boundary of the object. Neural nets are used to classify the probes as corresponding to background or an object/background boundary by estimating a posteriori probabilities. The paper investigates a number of probe geometries and nonparametric probe statistics. Experimental results demonstrate the utility of these methods in detecting ground vehicles in natural backgrounds." @default.
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- W2010659675 date "1996-06-14" @default.
- W2010659675 modified "2023-10-03" @default.
- W2010659675 title "<title>Analysis of probe methodologies for target recognition</title>" @default.
- W2010659675 doi "https://doi.org/10.1117/12.243203" @default.
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