Study on pixel-wise application of an active infrared stealth algorithm using the repulsive particle swarm optimization process

Kuk-Il Han; Jun-Hyuk Choi; Tae-Kuk Kim

doi:10.1117/1.OE.56.11.113110

20 November 2017 Study on pixel-wise application of an active infrared stealth algorithm using the repulsive particle swarm optimization process

Kuk-Il Han, Jun-Hyuk Choi, Tae-Kuk Kim

Author Affiliations +

Optical Engineering, Vol. 56, Issue 11, 113110 (November 2017). https://doi.org/10.1117/1.OE.56.11.113110

Abstract

The infrared (IR) detection methods are more threatening than other detection methods, such as radar or sonar detections, because the object detected by the IR sensor cannot recognize the situation being detected. Recently, many studies for actively reducing IR signal contrast by controlling the surface temperature of the object are being conducted. We propose an active IR stealth technique using repulsive particle swarm optimization algorithm for IR low-observability. We present a pixel-wise application method of an active IR stealth algorithm to synchronize those signals from the object and the background in the midwavelength IR region. The proposed pixel-wise application method of a statistical active IR stealth technique, which determines the IR stealth temperature for the object surface, is proved to be an effective method for various known background images by reducing the average contrast radiant intensity between the object and background up to 96%.

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Kuk-Il Han, Jun-Hyuk Choi, and Tae-Kuk Kim "Study on pixel-wise application of an active infrared stealth algorithm using the repulsive particle swarm optimization process," Optical Engineering 56(11), 113110 (20 November 2017). https://doi.org/10.1117/1.OE.56.11.113110

Received: 19 July 2017; Accepted: 24 October 2017; Published: 20 November 2017

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KEYWORDS

Infrared imaging

Infrared radiation

Particle swarm optimization

Mid-IR

Infrared cameras

Algorithm development

Infrared sensors

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