Infrared polarization detection method for weak target in sky background

The false alarm generated by the background object in the complex sky background is a difficult problem in the detection of infrared small targets. The problem is particularly prominent when the target signal is weak. In order to effectively suppress the false alarm rate and improve the detection rate, a weak target detection algorithm based on infrared polarization map is proposed. Firstly, the data is collected by the infrared polarization detecting device, and then the polarization component map with the best image quality is analyzed. Finally, the filtering algorithm combined with Top- Hat morphological filtering and median filtering is used, and the global component threshold detection method is used to complete the polarization component map. Weak target detection. The experimental results show that the proposed method has higher detection rate and lower false alarm rate than the Top-Hat algorithm, maximum mean filtering algorithm, and LCM algorithm. An effective method for detecting weak targets in the background.