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

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%.