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Proceedings Paper

Optimum distortion-invariant filtering algorithm for detecting maritime targets in overlapping and nonoverlapping background noise
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Paper Abstract

A filter function designed to maximize the peak-to-output-energy metric statically for non- overlapping target and overlapping scene noises is extended for use to detect and identify maritime targets within the framework of an automatic target classifier. The filter is designed to be distortion-invariant with respect to different target aspects. Computer simulations show that the filter can successfully detect the distorted true class targets. A set of tilers constructed using subsets of the true class input images were implemented to discriminate target aspects and shown to have reliable performance.

Paper Details

Date Published: 24 October 1997
PDF: 8 pages
Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997); doi: 10.1117/12.279457
Show Author Affiliations
Francis Chan, Naval Undersea Warfare Ctr. (United States)
Bahram Javidi, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 3159:
Algorithms, Devices, and Systems for Optical Information Processing
Bahram Javidi; Demetri Psaltis, Editor(s)

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