Research On Infrared Imaging Calibration Technology Of Guidance System

As a military high technology,infrared imaging guidance technology has been widely used in various weapons and equipment.Infrared guidance system is the use of infrared imaging guidance technology to realize the target recognition and tracking.The quality of infrared image is directly related to the accuracy of target recognition.Due to fixed pattern noise such as non-uniformity and blind pixel in the infrared imaging system,the method of noise suppression based on scene has disadvantages such as slow convergence speed and difficulty in hardware implementation,the calibration method is generally adopted to suppress the fixed pattern noise of infrared images.In this paper,the guidance system based on the calibration of noise suppression methods,including non-uniformity correction methods,blind pixel detection and compensation methods are studied in-depth,and a set of infrared image acquisition and calibration system is designed to verify the suppression of fixed pattern noise.The main research contents include:Firstly,the characteristics of the infrared image of the guidance system are analyzed,including the causes of non-uniformity and blind pixel,and the necessity of calibration is explained.Focusing on the non-uniformity and blind pixel noise in the infrared imaging guidance system,the non-uniformity correction method and the blind pixel detection and compensation method are mainly studied.For non-uniformity correction,an adaptive segmentation correction method is studied.For blind pixel detection,an improved sliding-window based 3a detection method and a new detection method based on SVM and 3? are studied.For blind pixel compensation,the neighborhood substitution method and its improvement method are studied.The simulation results show that after the non-uniformity correction and blind-space detection and compensation,the fixed pattern noise of the infrared image of the guidance system is well suppressed.Secondly,in order to verify the validity and practicability of calibration methods including non-uniformity correction methods and blind pixel detection and compensation methods,a set of infrared image acquisition and calibration system is designed and developed.The system can calibrate the guidance system with uniform blackbody,and can verify the noise suppression effect after the calibration of the infrared guidance system by simulating the blackbody of the target.Finally,the infrared image acquisition and calibration system is used to verify the experimental results.Firstly,the infrared image of uniform blackbody radiation is collected and the calibration parameters including the non-uniformity correction parameters and the blind pixel position table are calculated.Then the blackbody radiation imaging of the simulated target is used to verify the calibration parameters.The experimental results showed that the non-uniformity correction and blind pixel detection and compensation methods studied in this paper can better suppress the fixed pattern noise in the infrared imaging of the guidance system,and can make the target appear better.At the same time,the correction accuracy and detection accuracy are higher than traditional Non-uniformity correction and blind pixel detection methods.Through the research of this paper,the purpose of suppressing the fixed pattern noise in infrared imaging of the guidance system is achieved.This also lays a solid foundation for the target recognition and tracking of the subsequent infrared guidance system.