A near ground infrared weak and small target detection algorithm based on ILCM saliency detection and dual-band image fusion

Abstract

Aiming at the drawback of single sensor detection, the multi-sensor fusion technology is used to study the near ground infrared weak and small target detection based on fuzzy integrated decision-level image fusion. Firstly, the ILCM (improved local contrast mechanism) operator is used to calculate the infrared image saliency by using the image subblock instead of the pixel in contrast calculation. Then, the significance threshold ROI (region of interest) is introduced to eliminate the influence of the background, and the fusion region is divided by the region correlation mapping. Finally, the target fuzzy membership degree is calculated for the single sensor image according to the proposed RM (region matching) and FM (fuzzy membership) fuzzy features, and the infrared target is obtained by the fuzzy synthesis method. Experiments show that the proposed algorithm has good robustness and strong anti-interference ability for the infrared weak and small target detection in complex near ground background, and it has better target detection effect than single sensor.