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机载LiDAR点云密度与DEM产品精度关系研究 被引量:15

Relationship Between Airborne LiDAR Point Cloud Density and DEM Product Accuracy
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摘要 对点云密度与数字高程模型(digital elevation mo-del, DEM)产品质量之间的对应关系进行研究,以获得具有指导意义的参数。首先依据香农采样定理,对生产不同比例尺DEM产品所需要的点云密度进行理论推导和论证,然后以1∶2 000、1∶1 000、1∶500比例尺DEM数据为例,用平地、丘陵、山区3种地形数据进行实验。结果表明,使用理论推导密度的点云数据在平地区域可以生产出满足精度要求的DEM产品,但在丘陵及山地区域需要适当增大点云密度。 The corresponding relationship between point cloud density and the accuracy of digital elevation model(DEM) product is studied to obtain the guiding parameters. Firstly, according to Shannon sampling theorem, the appropriate point cloud densities for production of different scales DEM in theory are theoretically deduced and demonstrated. Then, the terrain data in flat, hilly and mountainous areas are experimented with DEM data of 1∶2 000, 1∶1 000 and 1∶500 scale. The results show that for DEM product ge-neration which meets the precision requirement, the theoretical density is enough in flat area, but it needs to be increased in hilly and mountainous area. The results also show that DEM products meeting the precision requirements can be produced in the flat area by using the theoretically derived point cloud density. But it is necessary to increase the point cloud density appropriately in hilly and mountainous areas.
作者 王康康 郑学东 赖旭东 WANG Kangkang;ZHENG Xuedong;LAI Xudong(School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;Changjiang River Scientific Research Institute of Changjiang Water Resources Commission,Wuhan 430010,China)
出处 《测绘地理信息》 CSCD 2021年第3期78-82,共5页 Journal of Geomatics
基金 国家自然科学基金(41771368) 广东省国土资源技术中心项目(0612-1841D0330175)。
关键词 机载激光雷达 点云密度 香农采样定理 数字高程模型 airborne light detection and ranging(LiDAR) point cloud density Shannon sampling theorem digital elevation model(DEM)
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  • 1庞勇,李增元,谭炳香,刘清旺,赵峰,周淑芳.点云密度对机载激光雷达林分高度反演的影响[J].林业科学研究,2008,21(z1):14-19. 被引量:20
  • 2庞勇,赵峰,李增元,周淑芳,邓广,刘清旺,陈尔学.机载激光雷达平均树高提取研究[J].遥感学报,2008,12(1):152-158. 被引量:104
  • 3庞勇,李增元,陈尔学,孙国清.激光雷达技术及其在林业上的应用[J].林业科学,2005,41(3):129-136. 被引量:158
  • 4黄麟,张晓丽.三维成像激光雷达遥感技术在林业中的应用[J].世界林业研究,2006,19(4):11-17. 被引量:12
  • 5Rottensteiner F. A new method for building extraction in urban areas from high-resolution LiDAR data [ J ]. International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, 2002, 34(3/A) : 295-301.
  • 6Sun S, Member S, Salvaggio C. Aerial 3D building detection and modeling from airborne LiDAR point clouds [ J]. IEE[Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2013, 6(3 ) : 1 440-1 449.
  • 7Awrangjeb M, Fraser C. Automatic segmentation of raw LiDAR data for extraction of building roofs [ J ]. Remote Sensing, 2014, 6(5): 3 716-3 751.
  • 8Richter R, Dfillner M B J. Object class segmentation of massive 3D point clouds of urban areas using point cloud topology[J]. International Journal of Remote Sensing, 2013, 34(23 ) :8 408-8 424.
  • 9Zhang W, Wang H, Chen Y, et al. 3D building roof modeling by optimizing primitive' s parameters constraints from LiDAR data and aerlal imagery [ J ] Sensing, 2014, 6(9) :8 107-$ 133. using Remote.
  • 10Zhang J, Lin X, Ning X. SVM-based classification of segmented airborne LiDAR point clouds in urban areas [ J]. Remote Sensing, 2013, 5(8) :3 749-3 775.

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