Image Processing For Target Detection Using Data From A Staring Mosaic Infrared Sensor In Geosynchronous Orbit

Tim J. Patterson; Douglas M. Chabries; Richard W. Christiansen

doi:10.1117/12.7973795

1 January 1986 Image Processing For Target Detection Using Data From A Staring Mosaic Infrared Sensor In Geosynchronous Orbit

Tim J. Patterson, Douglas M. Chabries, Richard W. Christiansen

Author Affiliations +

Optical Engineering, Vol. 25, Issue 1, 251166 (January 1986). https://doi.org/10.1117/12.7973795

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.

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Tim J. Patterson, Douglas M. Chabries, and Richard W. Christiansen "Image Processing For Target Detection Using Data From A Staring Mosaic Infrared Sensor In Geosynchronous Orbit," Optical Engineering 25(1), 251166 (1 January 1986). https://doi.org/10.1117/12.7973795

Published: 1 January 1986

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