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基于最小二乘三维表面匹配算法的滑坡变形测量
引用本文:郭献涛,黄腾,臧妻斌,李桂华. 基于最小二乘三维表面匹配算法的滑坡变形测量[J]. 岩土力学, 2015, 36(5): 1421-1427. DOI: 10.16285/j.rsm.2015.05.026
作者姓名:郭献涛  黄腾  臧妻斌  李桂华
作者单位:1.河海大学 地球科学与工程学院,江苏 南京 210098;2.河南理工大学 测绘与国土信息工程学院,河南 焦作 454003
基金项目:江苏省普通高校研究生科研创新计划资助项目(No. CXZZ13_0264);江苏省测绘科研项目(No. JSCHKY201301)。
摘    要:针对已有利用地面三维激光扫描(TLS)技术实施变形测量的局限性,如变形提取的一维性及对小变形的不敏感性。提出了一个基于重复扫描数据实施滑坡变形监测的新方法,该方法主要包括3个步骤:原始TLS数据的获取、TLS数据的总体配准以及基于子区域的变形计算。其核心是给出的一种三维表面匹配新算法(最小二乘2维图像匹配的泛化)。该方法可充分利用TLS数据的高冗余性,实现高精度的全三维变形测量,得到监测对象的位移量和旋转量,同时,在应用上具有高度的灵活性。通过模拟试验验证了该方法的性能。此外,利用该方法分析了一个滑坡变形监测实例,进一步证实了模拟试验的结果。该方法适用于变形监测,尤其是人员难以到达的面灾害监测领域。对促进变形监测从点测绘向形测绘的转变具有一定的实际意义。

关 键 词:滑坡  变形  点云  地面激光扫描  估计  
收稿时间:2013-08-11

An approach for monitoring landslide deformation using least-square matching algorithm
GUO Xian-tao , HUANG Teng , ZANG Qi-bin , LI Gui-hua. An approach for monitoring landslide deformation using least-square matching algorithm[J]. Rock and Soil Mechanics, 2015, 36(5): 1421-1427. DOI: 10.16285/j.rsm.2015.05.026
Authors:GUO Xian-tao    HUANG Teng    ZANG Qi-bin    LI Gui-hua
Affiliation:1. School of Earth Sciences and Engineering, Hohai University, Nanjing, Jiangsu 210098, China; 2. School of Surveying &Land information Engineering, Henan Polytechnic University, Jiaozuo, Henan 454003, China
Abstract:In application of the current Terrestrial Laser Scanning (TLS) technique suffers several limitations, such as its 1-D nature in monitoring the deformation and insensitivity to infinitesimal deformation. Here a new approach based on the data obtained from repeatedly scanning is proposed for monitoring the slope deformation. The new approach includes three main steps: sampling the raw TLS data, registering the obtained TLS data, and computing the deformation based on the subareas matching method. Central to the proposed procedure is a 3D matching algorithm (a generalized concept of the least-squares 2D image matching). Taking advantage of the high redundancy of TLS data, the procedure can be used to monitor the full 3-D deformations with high resolution, yielding the transitional and rotational displacements of the monitored objects, while possessing high flexibility in application. The performance and advantage of the approach are illustrated through a designed simulation experiment. In addition, a case study is performed based on the proposed approach, further confirming the result of the simulation experiment. This procedure is applicable to the deformation monitoring, especially for the remote areas, helping promote the transition of the current deformation monitoring method from pointwise to morphological monitoring.
Keywords:landslides  deformation  points cloud  terrestrial laser scanning  estimation
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