Rolling simulation method for acquiring pixel parameter of airborne 3D imaging LiDAR

ISCAS OpenIR

	Rolling simulation method for acquiring pixel parameter of airborne 3D imaging LiDAR
	Wu, Fengge (1); Zhang, Heng (1); Zhao, Junsuo (1); Zhuang, Jiayu (1)
	2014
会议名称	2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014
页码	168-172
会议日期	March 10, 2014 - March 13, 2014
会议地点	Las Vegas, NV, United states
收录类别	EI
出版地	IEEE Computer Society
ISBN	9781479930098
部门归属	(1) Science and Technology of Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, 100190, China
摘要	Airborne 3D scannerless imaging LiDAR is an active detection means without scanner mechanism and has a broad application prospects in emergency rescue and flight safety. How to find appropriate pixel parameter is an critical problem for applying this approach. Low resolution may not meet requirement while high resolution will cause unnecessary power consumption. In this paper, a task-based rolling simulation method is proposed for acquiring pixel parameter of 3D scannerless imaging LiDAR. First, recognition level of aerial object is obtained for task requirement analysis. Then a scheme of generating 3D point clouds is given to acquire data of 3D scannerless imaging LiDAR. By applying Zernike moment's feature extraction algorithm and correlation coefficient method, the data features of the simulated point cloud is extracted and recognized to decide if the recognition results satisfy the task requirement. Based on numerical results from a case study, it has been demonstrated that, by implementing the proposed approach, the minimum pixels of airborne 3D imaging LiDAR satisfying task requirement can be achieved. © 2014 IEEE.; Airborne 3D scannerless imaging LiDAR is an active detection means without scanner mechanism and has a broad application prospects in emergency rescue and flight safety. How to find appropriate pixel parameter is an critical problem for applying this approach. Low resolution may not meet requirement while high resolution will cause unnecessary power consumption. In this paper, a task-based rolling simulation method is proposed for acquiring pixel parameter of 3D scannerless imaging LiDAR. First, recognition level of aerial object is obtained for task requirement analysis. Then a scheme of generating 3D point clouds is given to acquire data of 3D scannerless imaging LiDAR. By applying Zernike moment's feature extraction algorithm and correlation coefficient method, the data features of the simulated point cloud is extracted and recognized to decide if the recognition results satisfy the task requirement. Based on numerical results from a case study, it has been demonstrated that, by implementing the proposed approach, the minimum pixels of airborne 3D imaging LiDAR satisfying task requirement can be achieved. © 2014 IEEE.
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16598
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Wu, Fengge ,Zhang, Heng ,Zhao, Junsuo ,et al. Rolling simulation method for acquiring pixel parameter of airborne 3D imaging LiDAR[C]. IEEE Computer Society,2014:168-172.