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Optical Engineering

Image Processing For Target Detection Using Data From A Staring Mosaic Infrared Sensor In Geosynchronous Orbit
Author(s): Tim J. Patterson; Douglas M. Chabries; Richard W. Christiansen
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Paper Abstract

A set of multistage image processing algorithms has been developed to perform change detection in image sequence analysis. These algorithms are tailored to the task of moving target identification (MTI). Conventional differencing algorithms are compared to a new spatial differencing algorithm. Subsequent processing is accomplished with thresholding and a suboptimal implementation of a 2-D matched filter designed for simplicity of calculation. The image processing algorithms are then coupled with a simple tracking/detection algorithm. The resulting combination of processing shows very good performance for detecting targets in simulated mosaic IR images, with a projected probability of false alarm less than one per 1011 frames and a probability of detection for targets within the model approaching unity.

Paper Details

Date Published: 1 January 1986
PDF: 7 pages
Opt. Eng. 25(1) doi: 10.1117/12.7973795
Published in: Optical Engineering Volume 25, Issue 1
Show Author Affiliations
Tim J. Patterson, Brigham Young University (United States)
Douglas M. Chabries, Brigham Young University (United States)
Richard W. Christiansen, Brigham Young University (United States)


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