首页> 外文会议>第21届国际摄影测量与遥感大会(ISPRS 2008)论文集 >TIE VOXEL METHOD AND ITS QUALITY FOR 3D AIRBORNE LIDAR BLOCK ADJUSTMENT
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TIE VOXEL METHOD AND ITS QUALITY FOR 3D AIRBORNE LIDAR BLOCK ADJUSTMENT

机译:3D机载激光雷达块调整的领带体素方法及其质量

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For achieving high-quality LIDARgrammetry and performing surface reconstruction by 3D point clouds acquired at different locations or in different coordinate systems, a novel method was proposed and is called tie voxel method, in which voxel denotes "volume element". The motivation, ideas and concrete formulation of the tie voxel method are to be given. Its potential applications are discussed. On the one hand, the theoretical quality of the tie voxel method is studied by using simulated data points. On the other hand, some tests are also done by using real airborne LIDAR points. One of diverse types of tie voxels is tie cuboid. This paper describes the tie cuboid method. This method can be used for multi-strips airborne LIDAR points registration. It is hoped that the blunder LIDAR points and the systematic errors could and must be detected somehow. The theoretical accuracy and reliability of the tie cuboid method is then studied by using simulated LIDAR points. Test results verify that the tie cuboid method provides good accuracy and reliability for airborne LIDAR point registration, even in the case of improper point distribution on a side plane. The method exploits all implicit geometric conditions such as coplanarity, colinearity and perpendicularity so that it can provide good geometric strength for 3D point cloud registration. Also, the test results using multiple tie cuboids between two neighboring LIDAR strips show that this method can determine an accurate vertical drift parameter Sz with the a posteriori standard deviation ±0.0494m⌒0.25←z, where←z=±0.20m denotes the a priori standard deviation of Z-coordinate of a LIDAR point. Moreover, some tests are also done by using real airborne LIDAR points with a priori standard deviations ±0.15m and ±0.30m in vertical and horizontal direction, respectively. The root mean square distance 0.213m of a LIDAR point to the corresponding plane is achieved. These test results verify the applicability of the proposed tie cuboid method.
机译:为了实现高质量的LIDAR测绘并通过在不同位置或不同坐标系中获取的3D点云执行曲面重建,提出了一种新方法,称为扎体素方法,其中体素表示“体积元素”。提出了结合体素方法的动机,思想和具体公式。讨论了其潜在的应用。一方面,利用模拟数据点研究了体素法的理论质量。另一方面,还使用真实的机载LIDAR点进行了一些测试。领带体素的多种类型之一是领带长方体。本文介绍了领带长方体方法。此方法可用于多带机载LIDAR点注册。希望能够并且必须以某种方式检测到过失的激光雷达点和系统误差。然后,通过使用模拟的LIDAR点,研究长方体方法的理论准确性和可靠性。测试结果证明,即使在侧面上的点分布不正确的情况下,长方体方法也可以为机载LIDAR点记录提供良好的准确性和可靠性。该方法利用了所有隐式几何条件,例如共面性,共线性和垂直性,从而可以为3D点云配准提供良好的几何强度。同样,使用两个相邻激光雷达带之间的多个长方体的测试结果表明,该方法可以确定后向标准偏差为±0.0494m⌒0.25←z的准确垂直漂移参数Sz,其中←z =±0.20m表示a LIDAR点的Z坐标的先验标准偏差。此外,还通过使用真实的机载LIDAR点进行了一些测试,这些点在垂直和水平方向上的先验标准偏差分别为±0.15m和±0.30m。激光雷达点到相应平面的均方根距离为0.213m。这些测试结果验证了提出的长方体方法的适用性。

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