在对原始图像用小面模型分割的基础上，通过分析图像信噪比与区域噪声各参数之间的约束关系，研究了景像区域误差的模拟生成技术．采用小面模型将图像划分为许多平稳均匀的子区域，并根据给定的信噪比，按照不同的实际需要，在某些子区域内分别叠加区域噪声．研究成果为评估匹配算法的性能提供了一定的依据 Based on the segmentation of the original image with the faceted model, the simulation of image region error was studied by analyzing the constraint relationship between the image SNR and the parameters of the regional noise. The facet model is used to divide the image into many smooth and uniform sub-regions. According to the given signal-to-noise ratio, regional noise is superimposed in some sub-regions according to different practical needs. The research results provide a basis for evaluating the performance of matching algorithm