红外与可见光图像融合技术可以有效拓展系统的光谱探测范围，提供具有互补信息的融合图像，广泛应用于军事、反恐、搜救等领域，其研究热点主要集中在图像融合算法，而对于目标探测概率提升的研究，仍然处于探索的初期。本项目建立包含配准精度、目标置色融合质量、气象因子的红外与可见光图像融合系统模型，用于提高系统的目标探测概率。建立红外目标在可见光图像中的位置映射函数、局部融合质量评价函数，采用目标二次配准的思路，提高红外目标与可见光图像的配准精度；将目标融合与彩色图像融合相结合，研究目标置色融合方法，寻找最佳色彩空间，提高图像融合质量，推导目标置色融合算法的稳定性公式；考虑融合成像的各种因素，引入人眼视觉系统和Retinex理论，推导目标探测概率提升公式，通过实验定量分析配准精度、目标置色融合质量、气象因子对探测概率提升的贡献度。通过本项目的研究可以为红外与可见光图像融合系统的设计提供技术支撑与理论依据。

Infrared and visible image fusion technology can effectively expand the scope of spectrum detection system and provide complementary information for image fusion, which has been widely used in military, rescue, rescue and so on. The focus of its research focus is on the image fusion algorithm, and the research on the promotion of detection probability of the target is in the primary stage of exploration. This project establishes a fusion system of infrared and visible images, including registration accuracy, target coloring, fusion quality and meteorological factors, which is used to improve target detection probability of the fusion system.Firstly, mapping function of infrared target in visible light image and local fusion quality evaluation function are derived.By using the method ofquadratic-registration,the registration accuracy of infrared target and visible light image is greatly improved. Seconfly,Combining target fusion with color image fusion,target color fusion method is studied,the best color space is found,which improve the quality of image fusion,meanwhile,the stability formula of the target color fusion algorithm is derived.Thirdly, considering various factors of infrared and visual fusion-imaging and adding human eye vision system and Retinex theory, the deduction formula for target detection probability is derived and contribution of registration accuracy, target color fusion quality and meteorological factor to the enhancement of target detection probability is revealed through experiments.The findings of the project can provide technical support and theoretical basis for infrared and visible image fusion system design.