Research on the application of ground-based optical image for slope rapid monitoring

Zhi Wang, Zhichao Chen, Yan Zhang, Huan Yang, Jianmin Kang, Yaxin Sun, M. Wang, Nian Li
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Abstract

This paper proposes a method for rapid and continuous monitoring of slope deformation by using terrestrial optical photogrammetry. This slope monitoring method is non-contact and has a high speed to calculate the position and displacement of slope points, which can be applied to the continuous observation and disaster warning of the problem area of the slope. The theory of this method is to obtain the sequence image of the slope through the ground observation platform, and then use the SURF algorithm to generate the 2D displacement field in image plane, and finally orthorectify by using the DTM to calculate the displacement of the slope points. When the displacement of slope point exceeds the threshold, it can be considered that the corresponding position may be unstable and will occur slope sliding.
地基光学图像在边坡快速监测中的应用研究
本文提出了一种利用陆地光学摄影测量快速连续监测边坡变形的方法。这种边坡监测方法具有非接触式、计算边坡点位置和位移速度快的特点,可应用于边坡问题区域的连续观测和灾害预警。该方法的原理是通过地面观测平台获取坡面序列图像,然后利用SURF算法在图像平面上生成二维位移场,最后利用DTM正校正计算坡点位移。当坡点位移超过阈值时,可认为相应位置可能失稳,将发生边坡滑动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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