基于移动式三维激光雷达的柑橘冠层结构信息的获取
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湖南省科学技术厅项目(2018GK2013);湖南省农业农村厅项目(湘农发[2019]26号、湘农发 [2019]105号);湖南农业大学大学生创新创业训练计划项目(2019066X)


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    摘要:

    基于移动式三维激光雷达,建立了一种柑橘冠层结构信息(树高、冠幅、分枝角度)的获取方法:1) 利用移动式三维激光雷达获取柑橘三维点云数据;2) 选定SOR滤波组合(k,α)分别为(100, 0.9),(20, 1.2),(100, 0.9)对冠层残缺叶片点云和叶片边缘点云进行滤波处理;3) 利用Mean shift算法求取植株点云中心结合采集点角度,完成点云初始匹准;4) 运用ICP算法进行精准拼接并构建完整植株的三维模型,提取柑橘的株高、冠幅和枝干角度信息。验证结果表明,三维模型获取树高、冠幅、枝干角度的相对误差分别小于等于2.5%、小于等于4.5%、小于等于5.5%,判定系数R2大于0.97,均方根误差大于5.1。

    Abstract:

    Based on a mobile 3D lidar, a method was established to acquire citrus canopy structure information including the tree height, the crown width, and branch angle. Firstly, using mobile 3D lidar to obtain 3D point cloud data of citrus. Secondly, select the SOR filter combination (k, α) as (100, 0.9), (20, 1.2), (100, 0.9) to filter the point cloud of the canopy incomplete leaves and the point cloud of the leaf edge. Thirdly, use the mean shift algorithm to obtain the center of the point cloud of the plant combined with the angle of the collection point to complete the initial alignment of the point cloud. Fourthly, using the ICP algorithm to accurately splicing and constructing a three-dimensional model of the complete plant, extracting three kinds of structural information such as the plant height, crown width and branch angle of citrus. The verification results show that the relative errors of tree height, crown width and branch angle obtained by the 3D model are less than or equal to 2.5%, 4.5%, and 5.5%, repectively. The determination coefficient R2 is greater than 0.97, and the root mean square error is greater than 5.1.

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黄金其,黄晶晶,谢景鑫,肖旭,李明,许永伟.基于移动式三维激光雷达的柑橘冠层结构信息的获取[J].湖南农业大学学报:自然科学版,2022,48(1):.

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  • 在线发布日期: 2022-03-02
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