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A new method for debris flow detection using multi-temporal DEMs without ground control points

机译:没有地面控制点的多时相DEM检测泥石流的新方法

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Automatic DEM deformation detection without ground control points (GCPs) with its application in debris flow change analysis is an attractive but very difficult research topic. Based on the existing methods of M-LZD and LMS-LZD, this paper presents an improved method that takes both magnitude and relationship into account through allocating an appropriate weight to each observation and evaluating the contribution of each observation to deformation with the allocated weight. Such improvement enhances greatly the ability of DEM deformation detection. Compared with the M-LZD and LMS-LZD algorithm, using the multi-temporal DEMs of the Puwaigou valley, along the Hengduan mountain ranges in the southwest of China, where debris flows occur frequently during each summer due to heavy rainfall and each Autumn due to rapid snowmelt, the experimental results demonstrate that our method has the highest detection accuracy (RMS) and detection percentage (capability) of over 50%. The advantages of our method are (1) it does not need GCPs and prior information and knowledge of the terrain surface, and (2) it can calculate simultaneously the volume and determine the spatial distribution of terrain surface changes of multi-temporal DEMs.
机译:无地面控制点(GCP)的自动DEM变形检测及其在泥石流变化分析中的应用是一个有吸引力但非常困难的研究主题。在现有的M-LZD和LMS-LZD方法的基础上,本文提出了一种改进的方法,该方法通过为每个观测值分配适当的权重并评估每个观测值对变形的贡献来考虑幅度和关系。这种改进大大增强了DEM变形检测的能力。与M-LZD和LMS-LZD算法相比,使用普外沟河谷的多时间DEM,沿着中国西南部的横断山脉,那里的泥石流在每年的夏季都频繁发生,这主要是因为大雨和每年秋天对于快速融雪,实验结果表明我们的方法具有最高的检测准确度(RMS)和检测百分比(能力)超过50%。我们方法的优点是:(1)不需要GCP和地形表面的先验信息和知识,(2)它可以同时计算多时间DEM的体积并确定地形表面变化的空间分布。

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