Small unmanned aerial vehicle remote sensing-based slope deformation detection and calculation method

Abstract

The invention relates to a small unmanned aerial vehicle remote sensing-based slope deformation detection and calculation method which comprises the following technical steps: arranging and measuring image control points on the spot according to characteristics of a slope; acquiring a high-definition image of the slope on the spot by virtue of a small unmanned aerial vehicle remote sensing system; processing and adding the image control points to generate a three-dimensional slope point cloud by virtue of digital photogrammetry; performing checking and optimization to generate a three-dimensional slope point cloud with high absolute position accuracy; highly accurately registering three-dimensional slope point clouds of earlier and later periods; performing slope deformation detection and calculation on the basis of high-accuracy remote sensing results of an earlier period and a later period.

Description

Technical field [0001] The invention relates to a slope deformation monitoring and analysis method, in particular to a slope deformation detection and measurement method based on remote sensing of a small drone. Background technique [0002] Monitoring and early warning is the most important and effective means to prevent slope deformation or instability, and it has been widely recognized. The surface displacement monitoring represented by GPS has become an indispensable core technology method in slope monitoring due to its high precision, low cost, and strong adaptability. However, the current surface displacement monitoring is the so-called "point" monitoring method, that is, it can only monitor the displacement and deformation data of a limited number of discrete points deployed on the slope in advance, but cannot know the continuity of the entire slope surface space. Deformation field information. In order to overcome this shortcoming, the "surface" monitoring method repres...

AI Technical Summary

Problems solved by technology

However, if the above methods are directly applied to slope deformation monitoring and analysis, it is not enough to rely solely on high-resolution remote sensing results. It is also necessary to ensure that the remote sensing results have high absolute position accuracy in plane position and elevation. Ensure high registration accuracy between multi-phase results, so that it is possible to carry out slope deformation monitoring and analysis including deformation detection and accurate measurement

This involves the comprehensive application of a series of methods such as small UAV system construction, image control point layout and measurement, on-site image acquisition, indoor remote sensing result generation, multi-phase result registration, slope deformation detection and measurement, etc. The lack of such a complete and efficient set of high-precision slope deformation monitoring and analysis processing methods based on small UAV remote sensing seriously restricts related applications.

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