Adaptive Infrared Tracking Method of Laser Seeker Jamming Point Source
Because there is a large amount of noise information in the process of tracking infrared targets,the traditional methods will blur the edge information in the process of noise reduction,resulting in the loss of high-frequency details,which will affect the tracking effect of infrared targets.An adaptive infrared tracking method of laser seeker jamming point source is proposed.The potential infrared target is mined by using the target detection of likelihood ratio.The target gray obeys the Gaussian distribution principle,and the threshold is obtained through the pixel gray detection image.The target and non target features are accurately divided.Adaptive bilateral filtering is adopted to make the image block data more accurate after feature construction.The laser seeker is used to select important feature points in the target frame,integrate the target frame obtained from monitoring and tracking,and complete accurate infrared tracking.Experiments show that the proposed method can track the target well,with small tracking error and high efficiency.
laser seekerinterference point sourceadaptive infrared trackingtarget feature modelingthreshold segmentationrobustness
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