分布式光电解决了传统光学系统大视场与高分辨率成像的矛盾,在**侦查、安全监控、天文观测等领域具有广泛的应用。分布式光电系统通过图像拼接和超分辨重建等处理手段提升图像质量,从而提升系统探测能力和识别能力,但目前仍缺乏系统性的性能评估方法。建立了分布式光电系统性能量化评估方法。首先对分布式光电系统理论及图像处理算法进行了基础研究,通过分析图像空间分辨率、信噪比、信息熵等参数,对重构后图像质量进行评价,最后从光电系统和图像质量两个角度出发,对分布式光电系统的探测能力、识别能力进行了理论分析。该研究为分布式光电技术的发展提供了重要理论支撑。

Distributed optoelectronics solves the contradiction between large field of view and high resolution, which is widely used in military reconnaissance, security monitoring, astronomical observation, and other fields. The distributed optoelectronic system improves the image quality through imaging stitching and super-resolution reconstruction, thereby enhancing the detection and recognition capability. However, there is still a lack of systematic evaluation method for distributed optoelectronic systems. This article establishes a quantitative evaluation method for distributed optoelectronic systems. Firstly, we study the theory of distributed optoelectronic systems and the image processing algorithms. Then the image quality is evaluated by analyzing the spatial resolution, signal-to-noise ratio, information entropy, and other parameters. Finally, the theoretical analysis of the detection and recognition capability is carried out from perspectives of optoelectronic systems and image quality. This paper provides important theoretical support for the development of distributed optoelectronic technology.