Evaluation Theory And Simulation Of Detection Threshold Of Low-light-level Night Vision Imaging System

The low-light-level(LLL)night vision technology has been widely applied in the fields of military and civil since 1930s.Evaluating the performance of imaging systems with software can be high efficiency,economy and safety.Based on the above considerations,in this thesis,a more precise horizon detection model was proposed,which can provide guidance for the improvement of LLL imaging system and night vision technology.Firstly,the effect of imaging stages of LLL night vision systems on the imaging quality was studied,and the characteristic of spectral radiation and reflection was analyzed in the transmission process of background,target and atmospheric.Moreover,the spectral response characteristic of common cathode was further discussed in the thesis,which provides a theoretical basis for the horizon evaluation.Secondly,we summarized the experimental setup,design principles and relative equipment of LLL night vision system.Accordingly,parameters such as radiation gain,resolution,noise characteristic and spectral response characteristic were considered.The more precise horizon detection model was established with the modification of the noise factor,and the rationality has been proved by the field experiments.Finally,a LLL night vision software was developed with C++ and SQL,and the tools used were MFC and SQL Server2008.In contrast to the simulation results of this software,the field experimental data showed little difference under the same conditions.It demonstrates that the software can effectively evaluate the performance of LLL night vision system and the proposed model can be applied in the future of horizon detection.