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利用光学影像的滑坡位移监测

Landslide displacement monitoring method by optical satellite images
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摘要 为充分挖掘光学遥感图像在滑坡监测中的应用潜力,本文基于数字图像相关法推导了适应滑坡非均匀形变和自然光照影响的滑坡位移光学影像计算公式,形成了基于光学影像的滑坡位移监测方法。试验分析了地表形变方式和形变量对滑坡位移光学影像计算公式的影响,给出了地表平移、旋转、扭曲3种不同形变方式下,计算误差的概率累计值变化曲线,证明了该公式95%计算结果的相对误差在0.04以内;利用两期SkySat卫星光学影像计算了某滑坡的平面位移场,分析了该滑坡的表面形变特征。本文研究为滑坡灾害监测预警提供了新的技术参考。 In order to fully explore the application potential of optical remote sensing images in landslide monitoring,the article derives the landslide displacement optical image calculation formula based on the digital image correlation method.The formula adapts to the non-uniform deformation of landslides and the influence of natural illumination.Based on this formula,the article establishes a landslide displacement monitoring method based on optical images.The experiment analyzes the influence of the surface deformation mode and the amount of deformation on the calculation formula of landslide displacement optical image,and gives the change curve of the probability cumulative value of the calculation error under three different deformation modes of surface translation,rotation and distortion.The experimental results prove that 95%of the calculation results of the formula are within 0.04 relative error.The article calculates the planar displacement field of a landslide using two-phase SkySat satellite optical images and analyzes the surface deformation characteristics of the landslide.The study provides a new technical reference for landslide disaster monitoring and early warning.
作者 刘卫南 宋红克 李清波 谢谟文 LIU Weinan;SONG Hongke;LI Qingbo;XIE Mowen(Yellow River Engineering Consulting Co.,Ltd.,Zhengzhou 450003,China;Key Laboratory of Water Management and Water Security for Yellow River Basin,Ministry of Water Resources(Under Construction),Zhengzhou 450003,China;School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China)
出处 《测绘通报》 CSCD 北大核心 2024年第6期41-45,64,共6页 Bulletin of Surveying and Mapping
基金 国家重点研发计划(2019YFC1509600)。
关键词 滑坡 监测 数字图像相关 光学影像 遥感 landslide monitoring digital image correlation optical satellite image remote sensing
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