刘岢,周建新,辛旺,刘伟,肖智巧.摄影测量与图像识别在滑坡位移监测中的应用[J].南华大学学报(自然科学版),2023,(2):7~17.[LIU Ke,ZHOU Jianxin,XIN Wang,LIU Wei,XIAO Zhiqiao.Application of Photogrammetry and Image Recognition in Landslide Displacement Monitoring[J].Journal of University of South China(Science and Technology),2023,(2):7~17.]
摄影测量与图像识别在滑坡位移监测中的应用
Application of Photogrammetry and Image Recognition in Landslide Displacement Monitoring
投稿时间:2022-12-29  
DOI:10.19431/j.cnki.1673-0062.2023.02.002
中文关键词:  滑坡  摄影测量  图像识别  位移辨识  模型试验
英文关键词:landslide  photogrammetry  image recognition  displacement recognition  model test
基金项目:国家自然科学基金项目(51704168);南华大学研究生创新基金项目(223YXC002)
作者单位
刘岢 南华大学 资源环境与安全工程学院,湖南 衡阳 421001 
周建新 湖南省地质灾害调查监测所,湖南 长沙 410004 
辛旺 南华大学 资源环境与安全工程学院,湖南 衡阳 421001 
刘伟 湖南省地质灾害调查监测所,湖南 长沙 410004 
肖智巧 湖南省地质灾害调查监测所,湖南 长沙 410004 
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中文摘要:
      获取地表的变形位移信息对于滑坡灾害监测预警具有重要意义。本文基于摄影测量和图像识别技术提出了一种滑坡表面三维位移辨识方法,通过建立室内滑坡模型,模拟滑带渗水软化与堆载共同作用下滑坡的形成,利用MATLAB软件作为处理平台对获取到的坡体表面图像数据进行三维位移识别,并与全站仪的测量结果作了精度对比验证。试验结果表明,在滑带渗水和堆载的双重作用下,滑坡经历了缓慢蠕滑、上部压缩、整体滑移直至破坏的孕育演化过程,提出的三维位移辨识方法对于滑坡模型在各个变形阶段的三维位移变化均具有较高灵敏度,可识别毫米级的微小位移。利用本文提出的三维位移辨识方法不仅可以精准识别滑坡不同变形阶段的表面三维位移,还可以根据标识点的空间位移结果确定滑坡表面变形位移方向,分析滑坡的变形破坏情况。
英文摘要:
      Obtaining the deformation and displacement information of the land surface is of great significance for the monitoring and early warning of landslide disasters. Based on photogrammetry and image recognition technology, a three-dimensional displacement identification method for landslide surface is proposed. By establishing an indoor landslide model, the formation of a sliding slope under the combined action of water seepage softening and stacking of the slip belt is simulated, and the MATLAB software is used as a processing platform to identify the three-dimensional displacement of the obtained slope surface image data, and the accuracy is compared with the measurement results of the total station. The test results show that under the dual action of water seepage and mounding in the slip zone, the landslide undergoes a nurturing evolutionary process of slow creeping slip, upper compression, overall slip until destruction. The proposed three-dimensional displacement identification method is highly sensitive to the three-dimensional displacement changes of the landslide model in each deformation stage, and can identify small displacements of millimetre scale. The three-dimensional displacement identification method proposed in this paper can not only accurately identify the three-dimensional displacement of the landslide surface at different stages of deformation, but also determine the direction of deformation and displacement of the landslide surface based on the spatial displacement results of the identification points, and analyze the deformation and damage of the landslide.
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