A Detection Method of Infrared Dim Small Target under Complex Cloud Background

摘要

Based on the analysis of the characteristics of infrared dim small target under complex cloud background, A detection algorithm is proposed for infrared dim small target. Firstly, median filtering algorithm is employed to remove the noise effectively. Secondly, according to the characteristics of the cloud background and targets, a frequency-domain processing method based on Fourier transform and second-order Butterworth high pass filtering is proposed. The cutoff frequency of the filter is adaptively decided by establishing the relationship between the background complexity and the cutoff frequency. Lastly, target detection is achieved by threshold segmentation. Experiments showed that the algorithm can effectively detect infrared dim small target under complex cloud background.