Settlement monitoring method based on D-InSAR technology and image weighted stacking

A technology of weighted superposition and subsidence monitoring, applied in the field of land subsidence monitoring of time series D-InSAR technology, can solve problems such as affecting the accuracy of monitoring results and not considering the quality weight of interferograms, so as to weaken the influence of atmospheric delay, improve monitoring accuracy, reduce The effect of data volume requirements

CN112857310AInactive Publication Date: 2021-05-28HEFEI UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2021-05-28
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a settlement monitoring method based on a D-InSAR technology and image weighted stacking. The method comprises the steps: selecting a plurality of common main images from an SAR image database, carrying out the baseline estimation of the processed SAR images, generating a connection diagram, processing the corrected SAR images, generating a plurality of interference diagrams, performing filtering processing on all interference diagrams and calculating coherence of the interference diagrams, performing phase unwrapping on each interference diagram after filtering processing, removing the interference diagrams with poor coherence from the unwrapped interference diagrams, performing orbit refining and re-de-flattening processing on the interference diagrams after removing, performing weighted stacking on the interference diagrams; and finally, carrying out phase-to-deformation processing on the phase diagram, and carrying out geocoding to generate a deformation diagram. According to the invention, the advantages of the D-InSAR technology and weighted stacking are well combined, the precision of ground subsidence monitoring can be improved, the requirement for a data size is lowered, and therefore long-time and large-range time sequence deformation monitoring can be performed on an area.
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Description

technical field

[0001] The invention belongs to the field of synthetic aperture radar interferometry, in particular to a land subsidence monitoring method of time series D-InSAR technology. Background technique

[0002] Land subsidence is a local engineering geological phenomenon that causes the elevation of the crustal surface to change slowly under the comprehensive influence of natural changes and human activities. With the continuous acceleration of global urbanization, urban expansion and rapid population growth, extensive construction of urban infrastructure and over-exploitation of underground resources have led to increasingly serious urban land subsidence. Land subsidence can cause serious damage to buildings and production facilities, which is not conducive to urban construction and resource exploration and development, and may even cause seawater intrusion in coastal areas, causing major safety hazards to people's life and property safety and infrastructure safety...

Examples

Embodiment Construction

[0029] In this embodiment, a subsidence monitoring method based on D-InSAR technology and image weighted overlay is to select multiple optimal main images, and register the remaining images with the main images, and then compare the interference generated by registration to the same main image. The image pairs screen out the interference pairs with short space-time baselines to generate different sets, and the baselines between each set are longer. The ground deformation information of each set is obtained by the least square method, and then the singular decomposition method is used to combine the sets to solve. This method can obtain higher monitoring accuracy on the basis of fewer data sets. Specifically, if figure 1 As shown, the method includes the following steps:

[0030] Step 1. Select a plurality of public main images from the SAR image database by the public main image selection method;

[0031] Step 1.1. Carry out SAR data preprocessing to 9 SAR images in the SAR ...