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Optical Engineering

Distortion-tolerant minimum-mean-squared-error filter for detecting noisy targets in environmental degradation
Author(s): Francis Chan; Nasser Towghi; Luting Pan; Bahram Javidi
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Paper Abstract

single-template algorithms are useful when the orientation of the target is known. However, if a target's exact aspect angle is unknown a priori, then multiple templates may be combined to yield a distortion- tolerant filter. In addition, the presence of environmental degradation between the target and the observer degrades the detection and classification performance of electro-optical sensors. We introduce a minimum- mean-squared-error filtering algorithm that takes into account the environmental degradation, additive system noise, nonoverlapping background noise, and target distortions. This distortion-tolerant filter is shown to be tolerant of different target aspects, and detects true class targets well in complex scenes.

Paper Details

Date Published: 1 August 2000
PDF: 9 pages
Opt. Eng. 39(8) doi: 10.1117/1.1305543
Published in: Optical Engineering Volume 39, Issue 8
Show Author Affiliations
Francis Chan, Naval Undersea Warfare Ctr. (United States)
Nasser Towghi, Univ. of Connecticut (United States)
Luting Pan, Univ. of Connecticut (United States)
Bahram Javidi, Univ. of Connecticut (United States)

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