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Proceedings Paper

Focusing on targets through exclusion
Author(s): Walter J. Mueller; James A. Olson; Andrew Martin; John H. Hinchman
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Paper Abstract

Automatic target recognition (ATR) schemes attempt to locate and classify given target objects. Successful approaches either require substantial computing power to correlate target models with all pixels or use a search strategy to minimize the amount of pixels considered as candidates. The search refinement approach to ATR can be accomplished by continually examining various resolutions of the data sets for candidate objects or through a technique of excluding areas that could not contain the object. This paper describes an approach for excluding areas which are identified a priori as 'clutter' and should not contain the areas of interest.

Paper Details

Date Published: 1 August 1991
PDF: 10 pages
Proc. SPIE 1472, Image Understanding and the Man-Machine Interface III, (1 August 1991); doi: 10.1117/12.46472
Show Author Affiliations
Walter J. Mueller, General Dynamics Corp. (United States)
James A. Olson, General Dynamics Corp. (United States)
Andrew Martin, General Dynamics Corp. (United States)
John H. Hinchman, General Dynamics Corp. (United States)

Published in SPIE Proceedings Vol. 1472:
Image Understanding and the Man-Machine Interface III
Eamon B. Barrett; James J. Pearson, Editor(s)

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