红外与可见光图像融合系统的探测概率

Abstract

A method to calculate the target detection probability quantitatively for a infrared and visible image fusion system was proposed and a corresponding calculation model was established.First,the main factors affecting on the target detection probability were analyzed,and they were the spectral contrast of target and background,the characteristics of infrared and visible light detector,environmental illumination conditions,the integration of image quality,and the target size and distance.Then,five mathematical models on the effect factors mentioned above was constructed.On this basis,a calculation model for the detection probability based on infrared and visible image fusion system was completed.Finally,the experiments for two practical missions were performed.The first experiment show its results as follows:target detection probability of trees for a single detection system pvisis0.294 8,pIRis 0.136 0,but the detection probability for the fusion detection system is 0.414 2,much higher than that of single detector,which verifies the validity of the calculation method of fusion system for target detection probability.It proves that the fusion image quality and the spectral characteristics of goal itself play important roles for target detection probability.Moreover,the experiment results of the model is accord with the human visual characteristics as well.