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Terrestrial laser scanner to detect landslide displacement fields: a new approach

机译:地面激光扫描仪探测滑坡位移场:一种新方法

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摘要

A terrestrial laser scanner (TLS) allows the generation of a detailed model of a landslide surface. In this way, when two or more georeferenced models obtained by multi-temporal scans are available, the landslide displacement field can be computed. Nevertheless, such a computation is a relatively complex task because the recognition of correspondences among the multi-temporal models is required. The Iterative Closest Point (ICP) algorithm allows the alignment of two 3D objects having a common part by iterative shape matching. A new method for the automatic calculation of a landslide displacement field is presented here. It is based on a piecewise application of the ICP algorithm and is made possible by the robustness of this algorithm against noise and small morphological modifications. After a series of numerical experimentations, this method was successfully applied to two test sites located in the North-Eastern Italian Alps affected by high-risk landslides of the slump type (Perarolo di Cadore and Lamosano) with very different observational conditions.
机译:地面激光扫描仪(TLS)允许生成滑坡表面的详细模型。这样,当通过多时相扫描获得的两个或更多个地理参考模型可用时,可以计算滑坡位移场。然而,由于需要识别多时间模型之间的对应关系,因此这种计算是相对复杂的任务。迭代最近点(ICP)算法允许通过迭代形状匹配来对齐具有共同部分的两个3D对象。这里提出了一种自动计算滑坡位移场的新方法。它基于ICP算法的分段应用,并且由于该算法针对噪声和小的形态学修改的鲁棒性而成为可能。经过一系列的数值实验后,该方法成功地应用于位于意大利东北部阿尔卑斯山的两个试验场,这些试验场受坍落类型的高风险滑坡(Perarolo di Cadore和Lamosano)的影响,观测条件差异很大。

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