Aiming at the problem that it is difficult to fuse the target and the background color in the process of night camouflage,the scene reconstruction technology based on the pix2pix network is proposed in this paper.The strong image to image learning ability of this network is used to learn the specific color distribution and background texture features in a certain area under different temperatures,and predict the color information.The conversion between infrared heat map and color image is realized,and a realistic real scene pattern is generated under the framework of pix2pix.In both mathematical and experimental terms,compared with the existing reconstruction techniques of night scenes,the fusion degree of scene patterns generated in this paper and the real background is significantly improved,which solves the design problem of camouflage camouflage under the condition of insufficient visibility at night.