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基于剖面和迭代选权曲面拟合的LIDAR点云滤波算法研究 被引量：1

Research on Profile and Iterative Powerfit for LIDAR Point Filtering
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摘要 LIDAR数据是目前最为理想的生产DEM/DSM的数据源,利用机载激光雷达获取DEM/DSM数据是机载激光雷达最为直接的应用。提出了一种剖面的数据表达方式对离散的LIDAR点云数据进行组织,同时对点云数据做初步的分类,在此基础上用迭代选权曲面拟合的滤波算法对地面点和非地面点做进一步的分类,以提高LIDAR点云数据的滤波效果的方法。 LIDAR data is the most ideal source for DEM/DSM which is the most direct application of it. A kind of profile data expression to discrete I.IDAR data is processed as classified point cloud , And iteration with variable weights surface fitting filter algorithm to points is further classified which can improve the 1.1DAR point cloud filtering effect .
作者 李永花 王英 辛兵厂
机构地区 青海省基础地理信息中心
出处 《全球定位系统》 2013年第1期73-76,共4页 Gnss World of China
关键词 剖面 迭代选权 曲面拟合 滤波 Profile iteration with variable weights surface fitting filtering
分类号 P228 [天文地球—大地测量学与测量工程]
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参考文献5

二级参考文献30

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共引文献126

同被引文献30

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全球定位系统
2013年 第1期

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