Hidden Target 3D Reconstruction Based On Laser Range-gated Technology

Target detection and anti-camouflage were always been an important task in the military field.The targets on the ground can be easily obscured by various natural objects or artificial camouflage means.The images obtained by the traditional two-dimensional image detection system are difficult to discriminate and estimate the targets now,and it can not even obtain effective information of target.In the night and other poor imaging environment,the ability to obtain the target information and the effective distance of the two-dimensional imaging system were greatly limited.The laser imaging system utilizes the laser as the light source to actively illuminate.Because of the higher energy density and better collimation of laser light source,theoretically,it has the ability of penetrating the covering to obtain valid information of a certain part of the target,and the data can be processed by the algorithm to recovery the size and range information of the target.Laser detection system has significant advantages in hidden target detection.Range gated technique removes the heavy scanning device from the system,reducing the limitation of imaging speed and resolution that scanning speed and stability of the scanning device cased.Relying on the extremely high shutter speed of the image intensifier and the accompanying high precision time signal control Technology,it enables imaging with light within slice depths at very short distances.With the development of related devices and control technologies in the field of laser distance gating imaging,the laser distance gating system already has good performance in the target three-dimensional detection.This paper analyzes the three kinds of representative algorithms of target 3D reconstruction based on range gated technology,and summarizes their characteristics,and analyzes the applicability of some algorithms for hidden targets.Based on the analysis of the characteristics of the return signal from hidden target,the full-waveform analysis of the aliased signal received by the system is made according to the special case of signal aliasing existing in the hidden target imaging.The centroid method with high data utilization is selected as the basic algorithm.It is improved according to the signal decomposition principle.On the basis of the centroid method,we restrict the data involved in the algorithm reconstruction process under the condition of signal independence,making it possible to discriminate the signal of the shelter and remove it.In view of the complicated situation of signal aliasing,based on the signal decomposition of the principle,the use of simulation primitive signal decomposition of the aliased signal,and the signal shielding to determine and remove the discriminant conditions make the improved method has a certain degree of adaptability.In this paper,the method is simulated,and its feasibility is verified.The experiment is designed to cover the target vehicle with different distances by using camouflage mesh.The images are collected by range gated imaging systerm and processed according to the algorithm.The algorithm is feasible in many aspects.The actual verification is carried out,the effect of the algorithm and the source of the error are analyzed,and the relative error is calculated.