Research On Simulation And Grading Method Of Infrared Imaging Interference For Target Recognition

The infrared guidance system has the advantages of full-time work,long detection distance and flexibility,and it plays an increasingly important role in the modern battlefield.It has become one of the preferred precision guidance systems for modern warfare.In the complex detection process,in addition to the natural interference occlusion targets such as clouds and fog,artificial disturbances such as smoke bombs and decoys can also cause the target detection position to deviate,affecting the detection performance of the infrared guidance system.In order to improve the combat capability,it is necessary to study the antiinterference ability of the infrared guidance system,and reasonable evaluation of the degree of interference of the current infrared scene is of great value for studying the infrared guidance and anti-interference problem.This thesis proposes an infrared imaging interference simulation and classification method for grading recognition.This thesis first introduces the principle of infrared imaging and typical interference.By the simulation software and C++ programming,realize the process of interference simulation and obtain infrared image data with different interference types and different interference intensities.This thesis proposes an interference grading method based on index weighting.First,several indicators based on image quality and image texture are extracted,and the infrared interference images obtained by simulation are used to verify the characterization ability of selected indicators.A link between the interference physical parameters and the image grading indicators is established.In this thesis,by constructing a back-propagation neural network,using data fitting method,the weight of each index is rationally distributed.The interference grading model is established,and the relationship between image grading index and interference intensity level has been obtained.The direct correlation between the interference physical parameters and the interference intensity level is obtained,and the validity of the classification model is verified based on the specific simulation experimental data.This thesis introduces the infrared imaging interference simulation and classification method.The infrared interference grading model is established.The input of the actual infrared interference image can directly determine the degree of interference of the infrared scene,which is of great significance for studying the infrared guidance and anti-interference problem.