利用TLS技术与伪单点监测模式进行滑坡变形测量

针对传统离散点监测模式不适用于TLS变形监测，以及现有基于TLS技术变形监测的一维性与仅适用于特定几何对象分析等不足，本文提出了一种基于TLS技术的伪单点变形监测模式，并基于该监测模式提出了一种以表面匹配技术为核心的变形计算新方法。通过构建广义高斯-马尔可夫模型匹配搜索估计伪单点对象的全三维变形参数，利用TLS多期点云的高密度性，实现了高精度提取全三维变形信息，尤其适用于滑坡等灾害监测领域。试验表明在扫描距离约240 m时，该方法可达到1 cm级的变形提取精度，对推动变形监测从点测绘向形测绘的转变具有一定的价值。

Landslide deformation monitoring using TLS technology and pseudo-single point monitoring model

To overcome the limitations of traditional sparse points monitoring model unsuitable for TLS deformation measurement, and the deficiencies of the existing methods using TLS technology such as the one-dimensional characteristics and only available to the deformation analysis of regular geometry objects. This paper proposes a pseudo-single point monitoring model and a deformation computing approach based on TLS measurement, through constructing the generalized Gauss-Markov model to match and estimate the 3D deformation parameters of the selected pseudo-single point objects, full 3D deformation information can be get with high precision utilizing the high density of multi-period TLS data. It is especially suitable for the landslide field and other disaster monitoring. Finally, experimental results show that this method can achieve 1 cm deformation extraction accuracy when the scanning distance is about 240 m, which is of certain value in promoting the transformation of deformation monitoring from point mapping to shape mapping.