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Proceedings Paper

Analysis of probe methodologies for target recognition
Author(s): Sandor Z. Der; Vincent Mirelli; Duc Minh Nguyen; Lin-Cheng Wang
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Paper 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.

Paper Details

Date Published: 14 June 1996
PDF: 12 pages
Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243203
Show Author Affiliations
Sandor Z. Der, Army Research Lab. (United States)
Vincent Mirelli, Army Research Lab. (United States)
Duc Minh Nguyen, Army Research Lab. (United States)
Lin-Cheng Wang, SUNY/Buffalo (United States)


Published in SPIE Proceedings Vol. 2755:
Signal Processing, Sensor Fusion, and Target Recognition V
Ivan Kadar; Vibeke Libby, Editor(s)

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