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14 June 1996 Analysis of probe methodologies for target recognition
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sandor Z. Der, Vincent Mirelli, Duc Minh Nguyen, and Lin-Cheng Wang "Analysis of probe methodologies for target recognition", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); https://doi.org/10.1117/12.243203
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