Building subsidence recognition method based on spatio-temporal feature fusion of multi-source InSAR images

By introducing rigid geometric constraints and iterative weighted least squares algorithm inside the building, the problem of the inability to accurately identify uneven settlement inside the building in existing technologies is solved, and high-precision three-dimensional deformation analysis and risk assessment are achieved.

CN122024081BActive Publication Date: 2026-07-07JINAN SATELLITE IND DEV GRP CO LTD
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Patent Information

Application Number
CN202610491677.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-15
Publication Date
2026-07-07
Estimated Expiration
2046-04-15

AI Technical Summary

Technical Problem

Existing technologies cannot achieve precise identification and quantitative analysis of uneven settlement inside a single building without deploying a large number of ground sensors. In particular, in multi-track InSAR observations, they cannot be effectively fused into three-dimensional deformation results, making it difficult to distinguish between overall rigid body motion and uneven deformation inside the structure.

Method used

By introducing rigid geometric constraints on the building, the one-dimensional observation of the radar line of sight is inverted into the three-dimensional deformation of key points of the building structure. A joint adjustment function model is constructed, and the constraint of invariant structural line length is introduced. An iterative weighted least squares algorithm is used to solve the model and identify uneven settlement inside the building.

Benefits of technology

It enables precise identification and quantification of uneven settlement inside buildings, improves the physical integrity and engineering interpretability of deformation results, enhances the spatial targeting and precision of monitoring, stability and robustness, and supports building safety assessment and risk early warning.

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Abstract

The application discloses a multi-source InSAR image building subsidence recognition method based on space-time feature fusion, and belongs to the field of synthetic aperture radar interferometry and building deformation monitoring. The method comprises the following steps: S1, obtaining radar line-of-sight deformation observation values at each structural line endpoint of a building; S2, constructing a joint adjustment function model with the three-dimensional displacement of the endpoint as a parameter; S3, introducing a structural line length invariable constraint as an adjustment strong condition; S4, iteratively adjusting and solving the optimal three-dimensional displacement solution of each endpoint; and S5, recognizing uneven subsidence according to the displacement vector difference of adjacent endpoints. The multi-source InSAR image building subsidence recognition method based on space-time feature fusion introduces the rigid geometric structure constraint of a building, reliably reverses one-dimensional observation of a radar line-of-sight into three-dimensional deformation of a building structure key point, and realizes fine recognition and quantitative analysis on uneven subsidence in the building.
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