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Proceedings Paper

Composite correlation filters for SAR image recognition
Author(s): Daniel W. Carlson; Bhagavatula Vijaya Kumar; Robert R. Mitchell; Michael Hoffelder
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Paper Abstract

Recent developments in composite correlation filter methods have improved the recognition and classification of an object over a range of image distortions. These correlation filters can be used for the automatic target cueing or recognition images. These new filter methods can be optimized for different correlation criteria in order to improve the recognition capability of the filter. In this paper we will present results of designing these distortion- tolerant correlation filters with simulated SAR imagery and testing with real and simulated SAR targets.

Paper Details

Date Published: 10 June 1996
PDF: 12 pages
Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); doi: 10.1117/12.242036
Show Author Affiliations
Daniel W. Carlson, Carnegie Mellon Univ. (United States)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Robert R. Mitchell, Northrop Grumman Corp. (United States)
Michael Hoffelder, Northrop Grumman Corp. (United States)

Published in SPIE Proceedings Vol. 2757:
Algorithms for Synthetic Aperture Radar Imagery III
Edmund G. Zelnio; Robert J. Douglass, Editor(s)

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