摘要
针对目前存在的不规则三角网(triangulation irregular network,TIN)构网效率较低的问题提出了一种新的生成数字表面模型(digital surface model,DSM)的构网方法。首先,通过建立虚拟格网和格网插值,在线性时间内快速建立初始三角网。然后,对初始三角网中局部少量数据优化得到最终的TIN。最后,对数据进行冗余处理和密集处理,构造高分辨率的DSM。实验结果表明,该算法的构网效率高于当前存在的TIN构网方法,对于大数据量的DSM生成具有良好的适用性。
A novel method for digital surface model (DSM)generation based on triangulation irregular net-work (TIN)is proposed in order to increase the efficiency.Firstly,by establishing the virtual grid and interpo-lation,an initial triangulation network is quickly generated in linear time.Secondly,the optimal TIN will be fi-nally acquired by optimizing the local data in the initial triangulation network.Finally,the high precision DSM is obtained by processing the redundant and intensive data.The experiment results not only indicate that the tri-angulation efficiency of the proposed algorithm is much higher than those algorithms available,but also prove the effectiveness of the proposed algorithm for DSM generation when facing large amount of data.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2014年第9期1868-1873,共6页
Systems Engineering and Electronics
基金
国家自然科学基金(61272280
41271447
61272195)
教育部新世纪优秀人才支持计划(NCET-12-0919)
中央高校基本科研业务费专项资金(K5051203020
K5051303016
K5051303018
BDY081422
K50513100006)
西安市科技局项目(CXY1341(6))资助课题
关键词
数字表面模型
不规则三角网
激光雷达
局部优化处理
DELAUNAY三角网
digital surface model (DSM)
triangulation irregular network (TIN)
Lidar
local optimizationprocedure (LOP)
Delaunay triangulation