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针对红外相机模拟器仿真度量化评价体系的现状,提出了一种基于模糊逻辑和模糊集思想的全新的理论框架.该框架是一种客观的、多尺度的评价体系,涉及到模糊逻辑、曲线相似度评价、图像质量评估以及信息论等多个交叉领域.和现有的单一尺度的评价方法相比,这种多尺度的仿真度评价分析系统综合考虑了成像系统的主要性能特性参量和系统输出图像的质量,具有更好的任务适应性,可以方便地量化和比较具有相同或相似需求的相机模拟器的仿真度结果.
Aimed at the status quo of quantitative evaluation system for simulation of infrared camera simulator, a new theoretical framework based on fuzzy logic and fuzzy set theory is proposed, which is an objective and multi-scale evaluation system involving fuzzy logic, Similarity evaluation, image quality evaluation and information theory etc. Compared with the existing single-scale evaluation method, this multi-scale simulation evaluation system considers the main performance characteristic parameters of the imaging system and system output The quality of the image, with better task adaptability, makes it easy to quantify and compare the simulation results of camera simulators with the same or similar needs.