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Proceedings Paper

Chunk-based matching of images for ATR
Author(s): Raj K. Bhatnagar; Brent Seibert; Lynne Vettel; Eric A. Freudenthal; David Morgenthaler
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Paper Abstract

This paper demonstrates an image matching methodology for application in automatic target recognition systems. This method is based on chunking of an image and can be applied to any image matching system that uses templates to match against a given input image. Using information theoretical measures, templates are divided into sub-parts, called chunks. These chunks are scored individually against corresopnding parts of an input image. Sub-part scoring adds the ability to distinguish poorly matching areas of the target from those that match well. If a very small set of chunks score significantly worse than the other chunks then the poor-scoring chunks maybe discarded. This increases the scores of an input image that is of the same class but there is little or no effect on the score of an input image that is of another class.

Paper Details

Date Published: 12 September 2003
PDF: 12 pages
Proc. SPIE 5095, Algorithms for Synthetic Aperture Radar Imagery X, (12 September 2003); doi: 10.1117/12.487301
Show Author Affiliations
Raj K. Bhatnagar, Univ. of Cincinnati (United States)
Brent Seibert, Univ. of Cincinnati (United States)
Lynne Vettel, Univ. of Cincinnati (United States)
Eric A. Freudenthal, New York Univ. (United States)
David Morgenthaler, Lockheed Martin Corp. (United States)


Published in SPIE Proceedings Vol. 5095:
Algorithms for Synthetic Aperture Radar Imagery X
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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