Research On Data Processing Method Of Laser Intensity Distribution Measurement

Accurate measurement of the spatial and temporal distribution parameters of laser intensity is of great significance for analyzing the laser atmospheric transmission characteristics and evaluating the performance of laser emission systems.In the actual measurement,the detector array method and camera imaging method are usually used to obtain the spatio-temporal distribution parameters of laser intensity.This paper takes the detector array method and camera imaging method measurement system as the research object,and conducts an in-depth study on the key problems in the data processing of the detector array method and camera imaging method.On the one hand,the in-depth analysis of the key issues in the measurement system lays a theoretical foundation for the design of the measurement system.On the other hand,comparing and optimizing various data processing methods,we obtained high-precision data processing methods for the laser intensity distribution measurement system,and based on this,we applied these data methods to the laser intensity distribution measurement system,designed and developed the data processing software,and realized the highprecision measurement of the laser parameter measurement system.The main research content of this paper consists of the following parts:Firstly,taking the detector array method measurement system as the research object,we have studied the problems of detector spectral responsivity difference,system sampling resolution,target surface failure point,image noise and so on in the measurement system,and have obtained the data processing algorithm of detector array method in the field of laser parameter measurement with high accuracy,realized the high accuracy of laser parameter measurement with detector array method,and improved the ability of evaluating the performance of laser transmission system and studying the transmission characteristics of laser atmosphere with the measurement data of detector array method.1.Due to the fact that the detectors in the measurement system have different spectral responsiveness at different laser wavelengths,the system will have a large measurement error in the measurement of laser beams of a broader spectral range.A solution is proposed to correct the spectral responsivity of large-scale detector arrays by using single-channel data.2.The error relationship between the system sampling spacing and failure points and the system measurement accuracy is obtained through theoretical analysis and simulation tests,which provides a theoretical basis for the development of the detector array target.3.In view of the problem of the target surface failure points,the failure point detection algorithms are utilized to detect the failure points of the target surface,in particular Failure point repair and reconstruction algorithm based on image correlation coefficient is proposed for the regional block failure point;4.Noise-containing spot images are analyzed,and a local noise reduction algorithm based on the TV noise reduction model is proposed,which effectively improves the accuracy of the calculated parameters.Secondly,taking the camera imaging method as the research object,the main problems affecting the measurement accuracy in the camera imaging method measurement system are investigated,such as the image background information segmentation,the distortion of the spot image,the image scattering effect and so on,and the high-precision data processing algorithm of the camera imaging method measurement system is obtained.The data processing algorithm improves the accuracy of the camera imaging method in measuring spot parameters,and enhances the ability to evaluate the performance of the laser emission system by the camera imaging method and to study the laser atmospheric transmission characteristics by using the camera imaging method.1.An image background information segmentation method based on the similarity of the image structure is proposed,which greatly improves the efficiency of the data processing.2.In order to solve the problem of angular limitation between the various subsystems of the measurement system,the use of diffuse reflectance is proposed.In order to solve the problem of angular limitation between the subsystems of the measurement system,a method of adaptive correction of spot image using the beacon light on the diffuse reflection target surface as a marking point is proposed,which effectively solves the problem that the system is not easy to be integrated in the camera imaging method.3.Due to the coherence of laser light,laser light produces scattering when irradiating the objects with rough surfaces,and to analyze the effect of scattering effect on the measurement accuracy in the measurement system,a scattering suppression method is proposed through theoretical analysis and experimental validation.The method of scattering suppression is proposed through theoretical analysis and experimental verification.The method of rotating the diffuse reflecting screen effectively suppresses the scattering phenomenon,and improves the accuracy of the measurement data and the visual experience of the spot image.Finally,data processing software has been developed on the basis of research on data processing methods for measuring laser intensity distribution parameters by detector array method and camera imaging method.researched in this paper is implemented into specific engineering practice applications.Through the relevant project verification,the data processing method of laser intensity spatial and temporal distribution measurement proposed in this paper is effective and efficient,which improves the measurement accuracy of the measurement system and provides a powerful guarantee for analyzing the laser atmospheric transmission characteristics and evaluating the performance of the laser launching system.