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Accuracy of tree diameter estimation from terrestrial laser scanning by circle-fitting methods

机译:圆形激光扫描的树径估计精度圆形拟合方法

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This study compares the accuracies of diameter at breast height (DBH) estimations by three initial (minimum bounding box, centroid, and maximum distance) and two refining (Monte Carlo and optimal circle) circle-fitting methods The circle-fitting algorithms were evaluated in multi-scan mode and a simulated single-scan mode on 157 European beech trees (Fagus sylvatica L.). DBH measured by a calliper was used as reference data. Most of the studied circle-fitting algorithms significantly underestimated the mean DBH in both scanning modes. Only the Monte Carlo method in the single-scan mode significantly overestimated the mean DBH. The centroid method proved to be the least suitable and showed significantly different results from the other circle-fitting methods in both scanning modes. In multi-scan mode, the accuracy of the mininium bounding box method was not significantly different from the accuracies of the refining methods The accuracy of the maximum distance method was significantly different from the accuracies of the refining methods in both scanning modes. The accuracy of the Monte Carlo method was significantly different from the accuracy of the optimal circle method in only single-scan mode. The optimal circle method proved to be the most accurate circle-fitting method for DBH estimation from point clouds in both scanning modes.
机译:本研究将乳房高度(DBH)估计直径的准确度进行了比较三个初始(最小边界盒,质心和最大距离)和两种精炼(蒙特卡罗和最佳圆圈)圆拟合方法,评估圆拟合算法多扫描模式和157欧洲山毛榉树(Fagus Sylvatica L)的模拟单扫描模式。 CALLIPER测量的DBH用作参考数据。大多数研究的圆拟合算法显着低估了两种扫描模式中的平均dBH。只有单扫描模式下的蒙特卡罗方法显着高估了平均dBH。以质心方法证明是最不合适的,并且在扫描模式中的其他圆拟合方法中显示出显着不同的结果。在多扫描模式下,距离扫描方法的精制方法的精度没有显着不同的精度与扫描模式中的精制方法的精度显着不同。 Monte Carlo方法的准确性与单扫描模式仅在最佳圆形方法的精度显着不同。最佳圆形方法被证明是来自两种扫描模式中点云的DBH估计最准确的圆拟合方法。

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