The missile-borne LiDAR has an essential prospect in precise guidance.However,the instability of the missile has a significant impact on the precision of LIDAR point cloud,thus modeling and analyzing the influencing f...The missile-borne LiDAR has an essential prospect in precise guidance.However,the instability of the missile has a significant impact on the precision of LIDAR point cloud,thus modeling and analyzing the influencing factors of point cloud generation is necessary.In this investigation,the authors modeled the point cloud calculation process of missile-borne linear array scanning LiDAR under ideal conditions and analyzed the effect of position change on the fleld of view(FOV) in the course of platform motion.Subsequently,the authors summarized that the stability concerning the field of view and the target tracking are dependent on three limiting conditions.Finally,the authors derived an error formula and analyzed several typical errors in missile platform flight,including scanner error,POS error,system integration error,and platform vibration error.Based on theo retical analysis and simulation experiments,the model proposed in this papier can provide a theoretical basis for the design of the missile-borne LiDAR system and the selection of related instruments in practice.展开更多
Airborne LIDAR can flexibly obtain point cloud data with three-dimensional structural information,which can improve its effectiveness of automatic target recognition in the complex environment.Compared with 2D informa...Airborne LIDAR can flexibly obtain point cloud data with three-dimensional structural information,which can improve its effectiveness of automatic target recognition in the complex environment.Compared with 2D information,3D information performs better in separating objects and background.However,an aircraft platform can have a negative influence on LIDAR obtained data because of various flight attitudes,flight heights and atmospheric disturbances.A structure of global feature based 3D automatic target recognition method for airborne LIDAR is proposed,which is composed of offline phase and online phase.The performance of four global feature descriptors is compared.Considering the summed volume region(SVR) discrepancy in real objects,SVR selection is added into the pre-processing operations to eliminate mismatching clusters compared with the interested target.Highly reliable simulated data are obtained under various sensor’s altitudes,detection distances and atmospheric disturbances.The final experiments results show that the added step increases the recognition rate by above 2.4% and decreases the execution time by about 33%.展开更多
基金financially supported by the China National Natural Science Foundation(Grant No.61871389)the Research Plan Project of the National University of Defense Technology(Grant No.ZK18-01-02)the Director Foundation of State Key Laboratory of Pulsed Power Laser Technology(Grant No.SKL2018ZR09)。
文摘The missile-borne LiDAR has an essential prospect in precise guidance.However,the instability of the missile has a significant impact on the precision of LIDAR point cloud,thus modeling and analyzing the influencing factors of point cloud generation is necessary.In this investigation,the authors modeled the point cloud calculation process of missile-borne linear array scanning LiDAR under ideal conditions and analyzed the effect of position change on the fleld of view(FOV) in the course of platform motion.Subsequently,the authors summarized that the stability concerning the field of view and the target tracking are dependent on three limiting conditions.Finally,the authors derived an error formula and analyzed several typical errors in missile platform flight,including scanner error,POS error,system integration error,and platform vibration error.Based on theo retical analysis and simulation experiments,the model proposed in this papier can provide a theoretical basis for the design of the missile-borne LiDAR system and the selection of related instruments in practice.
基金This research was supported by National Natural Science Foundation of China(No.61271353,61871389)Major Funding Projects of National University of Defense Technology(No.ZK18-01-02)Foundation of State Key Laboratory of Pulsed Power Laser Technology(No.SKL2018ZR09).
文摘Airborne LIDAR can flexibly obtain point cloud data with three-dimensional structural information,which can improve its effectiveness of automatic target recognition in the complex environment.Compared with 2D information,3D information performs better in separating objects and background.However,an aircraft platform can have a negative influence on LIDAR obtained data because of various flight attitudes,flight heights and atmospheric disturbances.A structure of global feature based 3D automatic target recognition method for airborne LIDAR is proposed,which is composed of offline phase and online phase.The performance of four global feature descriptors is compared.Considering the summed volume region(SVR) discrepancy in real objects,SVR selection is added into the pre-processing operations to eliminate mismatching clusters compared with the interested target.Highly reliable simulated data are obtained under various sensor’s altitudes,detection distances and atmospheric disturbances.The final experiments results show that the added step increases the recognition rate by above 2.4% and decreases the execution time by about 33%.
