Research On Key Technologies Of Infrared Compressive Imaging

Infrared imaging guidance technique is a key development direction in precision guidance field.It is expected to become the leading conductor of the 21 st century precision guidance weapons for its strong anti-interference ability,good concealment and high precision guidance,which is still popular on the infrared imaging technology research recently.Based on the analysis and summarization of the latest achievements in related fields at home and abroad,this paper combined with the new sampling theory-compressed sensing to solve the problem of low imaging resolution in infrared rosette scan sub-imaging system.The compressive imaging technique is used to reconstruct high quality infrared images with less sampling number.The main work of this article is as follows:In the compressive imaging technique,the signal is first compressed through the measurement matrix to obtain less compressed measurement values,and then the recovery algorithm is used to reconstruct the image from the measurement values.In the design of measurement matrix,this paper studies three deterministic measurement matrices:(1)A deterministic sparse measurement matrix is designed using the respective characteristics of Pascal and Kronecker products.The measurement matrix has a simple structure,which is easy to implement physically,and has an ideal reconstruction performance for infrared images;(2)A deterministic trajectory equation measurement matrix is designed to measure and reconstruct infrared image based on scan path.A determinant sequence is obtained by using the trajectory equation of the rosette trajectory equation,and the measurement matrix is constructed by specifying the sequence;(3)A deterministic rotation measurement matrix is constructed by analyzing the structure characteristic of rosette scan sub-imaging system.The compressed measurement is obtained from the scanning field of view by the rotation operation of the optical elements,where the optical scanning device is used as the physical realization platform of the measurement matrix.The implementation of this measurement matrix is different from the existing digital micromirror device and mask methods,it's achieved through the rotating operation of the optical components with the advantages of low cost and convenient implementation.Besides,a multi-frame joint compressive imaging algorithm is proposed based on the rotation measurement matrix.The requirement of sampling rate can be further reduced and the image quality can be effectively improved by combining the multi frames target scene information.In addition,this paper studied the infrared image reconstruction in dynamic environment.and designed a dynamic compressive imaging scheme.A compressive imaging model of a motion system is established,which can recovery high quality and high-resolution infrared images in the presence of system motion by analyzing the relationship between adjacent frames and scanning field of view.It can provide more reliability for the subsequent target detection,identification and tracking work.