Battle Damage Assessment Of Launch Vehicle Based On 3D Real Scene Reconstruction Technology

Battle damage assessment is a demanding task,but it also has high risk.At present,the battle damage assessment of typical missile launching vehicle is not thorough enough,especially in the daily training and exercises of the army,most of them use manual spot target assessment,which is not only inefficient and low accuracy.In this paper,a target damage evaluation method based on 3D real scene reconstruction technology is studied to evaluate the battle damage assessment of typical missile launching vehicle.Through the study of tilt photogrammetry technology,set up the target of high precision 3D model of real extract texture images and triangular mesh model before and after the test model,respectively,on the model of the texture image and the grid model for processing and detecting target fragment and shock wave overpressure damage information,further information according to mutilate battle damage assessment.The main research contents are as follows:First,study 3D real scene modeling technology.In the region of the small scale modeling unmanned aerial vehicle（uav）is more single lens uav has a huge advantage,this article through to the traditional single lens tilt photography of 3D modeling of real learning,found that the traditional primary data processing vertical photography,aerial triangulation of oblique photography data processing is not good enough,at the same time close to the ground part of photogrammetric precision is also insufficient.According to the above problems,a method of collecting near-surface image data was added in this paper,which combined multi-view image region adjustment with vertical and oblique image data.Experiments proved that this method greatly reduced the error of the whole model data,especially improved the near-surface resolution accuracy.Second,for getting fragment of target damage information,extract the target surface texture images,3D model through the study of image change detection and processing algorithm,the traditional detection and processing image difference algorithm on the basis of the combination of wavelet transform and image fusion change detection algorithm,through the experiment shows the algorithm of the combination in terms of detection accuracy is improved.Thirdly,in order to obtain the information of damage to the target caused by shock wave,the damage to the target caused by shock wave is mainly the deformation of the target.Through the research of the consistent registration algorithm and the accurate registration algorithm based on ICP,the accuracy of the consistent registration algorithm is improved by setting the appropriate threshold value,and the ICP algorithm is optimized to improve the efficiency of registration and reduce the registration error.Finally,through the analysis of the vulnerability and damage effect of typical missile launching vehicle targets,combined with the detection and research results of fragments and shock wave overpressure on the damage information of typical missile launching vehicle targets,the battle damage assessment of typical missile launching vehicle targets is evaluated.Based on the analysis of test results and the battle damage assessment evaluation of the 3D real scene target model,the damage information of the 3D model fragment and shock wave overpressure can be better identified.This method can be used to evaluate the battle damage assessment of a typical missile launching vehicle.