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Proceedings Paper

A framework for a general model-based ATR theory
Author(s): Isaac Weiss
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Paper Abstract

An ATR theory is useful both for developing of ATR algorithms and evaluating their performance. We present here a model-based ATR theory based on hierarchies of parts. Objects and parts are represented as nodes in an attributed graph, while the links between nodes represent invariant relations between the parts. These can be either geometric (quantitative) invariants or structural (qualitative) ones. A metric is used to measure the distance of an object from known models, based on the distances of the parts. This is different from traditional pixel-based or template-based metrics which are very sensitive to any variation in the object. Unlike previous graph-based methods, we do not try to segment the object before recognizing it. Rather, the segmentation is guided by the models and goes hand-in-hand with the recognition process. The theory has been implemented for simple cases.

Paper Details

Date Published: 2 September 2004
PDF: 10 pages
Proc. SPIE 5427, Algorithms for Synthetic Aperture Radar Imagery XI, (2 September 2004); doi: 10.1117/12.555519
Show Author Affiliations
Isaac Weiss, Univ. of Maryland/College Park (United States)


Published in SPIE Proceedings Vol. 5427:
Algorithms for Synthetic Aperture Radar Imagery XI
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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