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Accuracy-based significant point derivation from dense 3D point clouds for terrain modeling

机译:基于密集3D点云的基于精度的有效点推导,用于地形建模

摘要

Method includes calculating a mean z coordinate value for points within the point cloud. An initial set of points is selected which have z coordinate values which deviate from the mean by at least an initial value. Thereafter, a triangulated irregular network (TIN) is constructed using the initial set of points. The method continues by determining if there is a significant point that exists among the points contained within an x, y extent of each triangle. If so, the TIN is updated to include the initial set of points and any significant points determined to exist within the triangles that form the TIN. Thereafter, the method continues by repeating the determining and the updating steps until there are no additional significant points found within the triangles.
机译:方法包括计算点云内点的平均z坐标值。选择具有z个坐标值的初始点集合,这些z个坐标值与平均值偏离至少一个初始值。此后,使用初始点集构造了三角不规则网络(TIN)。该方法通过确定每个三角形的x,y范围内包含的点之间是否存在重要点来继续进行。如果是这样,则将TIN更新为包括初始点集和确定为存在于形成TIN的三角形内的所有有效点。此后,该方法通过重复确定和更新步骤继续进行,直到在三角形内找不到其他有效点为止。

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