| In modern combat,the optoelectronic imaging system is easily interfered by laser,and the images collected by the optoelectronic imaging system are often images with interfered spots.The comprehensive analysis and evaluation of laser interference images and the establishment of an optical imaging simulation system of laser interference effect are conducive to shortening the development cycle of interference equipment and providing important reference for the research on laser interference protection.In this paper,two key problems involved in the simulation system of optical imaging laser jamming effect are studied in depth: one is the intelligent setting of the attenuation coefficient of laser beam attenuator;the other is the quality evaluation of laser jamming image.For the first problem,the traditional method not only has poor anti-interference ability,but also has high model complexity.To solve this problem,the hardware architecture of the system is designed according to the system design requirements of the laser beam attenuation system,and an intelligent setting method of laser parameters based on XGBoost algorithm is proposed in this paper.This method discusses the implementation scheme of the intelligent setting method of laser parameters under the actual experimental conditions and the experimental verification scheme of the intelligent setting method of laser parameters under the simulation conditions in detail.In this paper,the data set is simulated by means of simulation,and then the effectiveness of the intelligent setting method of laser parameters is verified based on the simulation data.The experimental results show that this method has strong applicability and high flexibility.For the second problem,the algorithms now applied to the evaluation of the image quality of laser interference mainly rely on the method of artificial design features,which not only takes much time and effort,but also may not accurately reflect the quality of the image.Aiming at this problem,this paper proposes a feature maps based on the depth of the residual network structure similarity of the laser interference image quality assessment algorithm Res Net50＿SSIM,the algorithm from three aspects as brightness,contrast and structure characteristics of laser jamming is analyzed before and after images in Res Net50 network diagram output features,in order to make the evaluation result more accord with human visual perception,and considering the saturation in the laser interference image pixel number influence on image quality evaluation results.The experimental results show that compared with the traditional algorithm,the evaluation result is more in line with the subjective perception. |
