Performance evaluation experiment analysis method for photo-electric imaging system

Abstract

The invention relates to a performance evaluation experiment analysis method for a photo-electric imaging system, which includes the following steps: building a photo-electric imaging system performance prediction model; dividing input factor sets and output index sets in the photo-electric imaging system performance prediction model; conducting screening experiment on the input factor sets; dividing input factor levels of the model according to screening experiment results and building a model input factor level graph; selecting orthogonal graphs according to the model input factor level graph to form experiment schemes; invoking the performance prediction model to calculate the output index sets corresponding to each experiment scheme; and performing range analysis and sensitivity analysis by aid of the output index sets and finishing the experiment analysis process. The performance evaluation experiment analysis method for the photo-electric imaging system can compteltely, typically and equilibrium comparably reflect effects of all experiment input factors on experiment indexes with the fewest experiment times, analyzes and determines the optimum level of all the experiment input factors and primary and secondary relations of all the experiment input factors in effects on the output indexes through a range method, and simultaneously analyzes the sensitivity degree of the input factors on the output indexes through a sensitivity analysis method.

Description

technical field [0001] The invention relates to the technical field of performance evaluation of a photoelectric imaging system, in particular to an experimental analysis method for performance evaluation of a photoelectric imaging system. Background technique [0002] The performance prediction model of optoelectronic imaging system is an important aspect of research and improvement of optoelectronic imaging system, involving scene modeling, atmospheric optics, optical engineering, information processing, visual physiology, etc. , by establishing a prediction model for the detection and recognition capability of the photoelectric imaging system, the analysis and evaluation of the performance and influencing factors of the photoelectric imaging system are realized. [0003] The imaging quality of the photoelectric imaging system is affected by multiple factors such as the external natural environment, the test conditions of the target scene, and the imaging system's own opti...

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Problems solved by technology

[0004] Aiming at the deficiencies existing in the photoelectric imaging system in the prior art, which are susceptible to various external factors and internal factors, and are difficult to qualitatively and quantitatively determine the influencing factors and the degree of influence on the detection and recognition performance of the photoelectric imaging system, the technical problems to be solved by the present invention It provides an experimental analysis method for evaluating the performance of the photoelectric imaging system that can determine the order of the influencing factors affecting the photoelectric imaging system and the degree of influence

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