| 基于车载点云空间分布的城区地物分类 |
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| 引用本文： | 谭晔汶,王鑫,王治国.基于车载点云空间分布的城区地物分类[J].海洋测绘,2017(3):79-82. |
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| 作者姓名： | 谭晔汶 王鑫 王治国 |
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| 作者单位： | ;1.解放军信息工程大学地理空间信息学院;2.河北省制图院 |
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| 基金项目： | 国家自然科学基金(41501506)；河南省基础与前沿技术研究计划(15230041000) |
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| 摘 要： | 城区车载点云数据包含建筑物、树木等不同的地物反射的点的总数,如何对无拓扑、盲目性的激光脚点进行分类成为点云数据后处理的难点。提出一种基于点云分散程度的分类方法:首先构建包围点及其k-邻域点集的最小包围盒,比较其在3个坐标平面的最大投影面积与最小包围盒体积的比值提取面状走势信息;其次比较点集在局部空间的分散程度提取树木点;最后以高程、点云密度作为约束条件进行分类。实例证明,该算法可较好地识别建筑物、树木等地物,具有一定的实用价值。
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| 关 键 词： | 车载激光扫描 滤波 分散程度 最小包围盒 体积比 分类 |
Classification of Urban Ground Objects Based onSpatial Distribution of Point Clouds |
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| TAN Yewen,WANG Xin,WANG Zhiguo.Classification of Urban Ground Objects Based onSpatial Distribution of Point Clouds[J].Hydrographic Surveying and Charting,2017(3):79-82. |
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| Authors: | TAN Yewen WANG Xin WANG Zhiguo |
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| Institution: | School of Surveying and Mapping,Information Engineering University,Zhengzhou 450000 ,China; Hebei Provincial Institute of Cartography,Shijiazhuang 050031 ,China |
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| Abstract: | There is a large amount of reflected points of different ground objects in urban laser scanning,including treesand buildings.It is difficult to separate the points into accurate kinds respectively from these non-related and blind laserpoints in data post-processing.A new method of classification based on dispersion degree is proposed in this paper.Firstly,a minimum bounding box including one point and its k-neighborhood points is constructed.Then by comparingthe ratio of the maximum area projected to 3.coordinate planes and the volume of the box,the panel features can beextracted.Secondly,tree points can be extracted though comparing the dispersion of points in the local space.Finally,the elevation and density are used as constrains to the complement of the classification.As the experiment proved,thismethod has some practical value in classifying ground,building and tree points effectively. |
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