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Estimation of the Density of Forest Based on Point Cloud Data

机译:基于点云数据的森林密度估算

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Based on the Analysis of the characteristics of the point cloud data and the difference compared to other three-dimensional data, explore and study the problem of point cloud data accuracy. From these aspects of the point cloud density, filtering methods and the interpolation method, analysis the elevation accuracy of point cloud data under different categories of terrain. The study method used is in case of different terrain category, different points cloud density and different interpolation methods, using the ground checkpoints of different number, analysis the accuracy of point cloud data. Then use the statistical theory, to estimate the density of Chungking. The final results show that this method can effectively estimate the density of the forest, and has high accuracy.
机译:在分析了点云数据的特征以及与其他三维数据的区别之后,探索研究了点云数据的准确性问题。从点云密度,滤波方法和插值方法这些方面,分析了不同地形类别下点云数据的高程精度。对于不同的地形类别,不同的点云密度和不同的插值方法,采用的研究方法是使用不同数量的地面检查点,分析点云数据的准确性。然后使用统计理论,估计重庆的密度。最终结果表明,该方法可以有效地估算森林的密度,具有较高的准确性。

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