High-resolution remote sensing image-based extensive deformation-induced landslide displacement field monitoring method
Landslide is one of multitudinous serious geological hazards.The key to its control and reduction lies in dynamic monitoring and early warning.The paper points out the insufficiency of traditional measuring means applied for large-scale landslide monitoring and proposes the method for extensive landslide displacement field monitoring using high-resolution remote images.Matching of cognominal points is realized by using the invariant features of SIFT Algorithm in image translation, rotation, zooming, and affine transformation, and through recognition and comparison of characteristics of high-resolution images in different landsliding periods.Following that, landslide displacement vector field can be made known by measuring the distances and directions between cognominal points.As evidenced by field application of the method for landslide monitoring at West Open Mine in Fu Shun city of China, the method has the attractions of being able to make areal measurement through satellite observation and capable of obtaining at the same time the information of large-area intensive displacement field, for facilitating automatic delimitation of extent of landslide displacement vector field and sliding mass.This can serve as a basis for making analysis of laws governing occurrence of landslide and adoption of countermeasures.
Landslide monitoring High-resolution remote sensing SIFT algorithm Deformation field
Shanjun Liu Han Wang Jianwei Huang Lixin Wu
College of Resources and Civil Engineering, Northeastern University College of Resources and Civil Engineering, Northeastern University;IOT Perception Mine Research Cen
国际会议
2015 International Academic Forum for Mine Surveying in China(2015中国国际矿山测量学术论坛)
北京
英文
413-419
2015-10-16（万方平台首次上网日期，不代表论文的发表时间）