Validation method of infrared imaging simulation based on recognition range北大核心CSCD

随着红外成像技术的发展和应用，红外系统成像仿真及验证技术越来越受到重视。现有仿真模型验证方法没有考虑到人眼视觉的影响，可能导致严重后果，为了解决这一问题，提出了基于识别距离的红外系统成像仿真模型验证方法。以识别距离作为红外系统成像仿真模型的准确度评价因子，考评仿真图像与实测图像在灰度分布、信噪比、分辨率、成像大小、人眼视觉等方面的综合差异。

Validation method of infrared imaging simulation based on recognition range

With the development and application of infrared (IR) imaging technology, the IR imaging simulation and its validation methods have been paid more and more attention. The existing validation methods of IR imaging simulation model rarely take the impact of human vision into account, which will lead to the serious consequences. In order to solve this problem, the validation method of IR imaging simulation model based on the recognition range was proposed. With the recognition range as the accuracy evaluation factor of IR imaging simulation model, the comprehensive differences of various aspects such as gray level distribution, signal-to-noise ratio (SNR) , resolution, imaging size and human vision between the simulated image and the measured image could be evaluated.