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	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
会议日期	March 10, 2014 - March 13, 2014
会议地点	Las Vegas, NV, United states
页码	168-172
中文摘要	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.
英文摘要	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.
收录类别	EI
会议录出版地	IEEE Computer Society
语种	英语
ISBN号	9781479930098
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/16598]
专题	软件研究所_软件所图书馆_会议论文
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]. 见:2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014. Las Vegas, NV, United states. March 10, 2014 - March 13, 2014.

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