Automatic deformation area boundary extraction method based on Alphahape algorithm

Abstract

The invention discloses a deformation area boundary automatic extraction method based on an Alphahape algorithm, relates to the technical field of geological disaster prevention and control, and aims to solve the problem that the repair effect of a steel epoxy sleeve is affected due to the defect that the steel epoxy sleeve is not fully filled with epoxy in the field construction process. According to the technical scheme, the method comprises the following steps: selecting a time sequence SAR image of a target area, and generating a PS point set; the PS points obtained in the step S1 are subjected to statistical analysis, points with abnormal deformation rates are screened out and marked as a point set S, and the area where the S is located is the deformation area; aiming at the point set S screened out in the step S2, constructing a Delaunay triangulation network; and deformation area boundary extraction: on the basis of the Delaunay triangulation network, carrying out deformation area boundary line extraction by adopting an Alphahape algorithm. The effects of automatically extracting the deformation boundary and facilitating calculation are achieved.

Description

technical field [0001] The invention relates to the technical field of geological disaster prevention and control, in particular to an automatic extraction method of deformation zone boundaries based on an Alphashape algorithm. Background technique [0002] In the early stage of surface deformation monitoring, leveling was mainly used to obtain the surface deformation of the whole area by laying out benchmarks. Although this method has high precision, it has a large workload, low efficiency and high labor costs. In recent years, with With the development of synthetic aperture radar interferometry (InSAR), large-area, high-precision surface deformation monitoring has become possible. [0003] InSAR technology is a technology to extract three-dimensional spatial information of ground targets based on the phase data of complex radar images. Its basic idea is to use two antennas for simultaneous imaging or one antenna for repeated imaging at a certain time interval to obtain com...

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Problems solved by technology

[0004] The above existing technical solutions have the following defects: the surface deformation information obtained by InSAR technology is usually included in a large number of measurement points (PS points), and in a small area, manual interpretation can be performed based on the hierarchical display of deformation rate to obtain deformation However, this method has problems in the time-series monitoring of large-scale surface deformation, such as low efficiency, being affected by human subjective factors, and difficult to guarantee accuracy.

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