Mine surface subsidence early identification monitoring method

Abstract

The invention discloses a mine surface subsidence early identification monitoring method comprising the following steps: using an amplitude deviation method to select PS, combining classification information and a mathematical statistics method to identify DS points, combining PS and DS, using a Delaunay triangulation network and adding a distance limit principle to connect the selected measuringpoints, and using the Delaunay triangulation network to identify the PS points; and removing an atmospheric phase by using one of an atmospheric model method, high-pass filtering of a time domain andlow-pass filtering of a space domain so as to reduce an atmospheric phase APS effect, a DEM residual error and an orbit error, and finally estimating a DEM error and a deformation rate. According to the invention, the technology of deformation estimation is carried out by using the robustness of PS and DS, high-density surface subsidence early identification can be carried out on a mine in a largearea, surface subsidence information can be rapidly and accurately obtained in a large range of the mine, the identification rate, precision and monitoring density of a subsidence area are improved,and the method is of great significance to early identification and monitoring of the mine surface subsidence area.

Description

technical field [0001] The invention relates to the technical field of surface deformation identification and monitoring, in particular to a method for early identification and monitoring of mine surface subsidence. Background technique [0002] With the rapid development of our country's economy, the demand for mining underground energy is increasing. The mining of underground coal usually leads to continuous land subsidence, which will pose a huge threat to the infrastructure and safety of coal mining areas. Subsidence is monitored and investigated to provide knowledge for disaster early warning systems. Traditional leveling and GPS data can produce reliable land subsidence measurements. However, these field surveys are time-consuming and laborious, and cannot provide deformation maps with high spatial sampling densities; [0003] Synthetic Aperture Radar (SAR) Interferometry (InSAR) is a powerful technique to obtain high-precision elevation angle and surface deformation a...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of our country's economy, the demand for mining underground energy is increasing. The mining of underground coal usually leads to continuous land subsidence, which will pose a huge threat to the infrastructure and safety of coal mining areas. Subsidence is monitored and investigated to provide knowledge for disaster early warning systems. Traditional leveling and GPS data can produce reliable land subsidence measurements. However, these field surveys are time-consuming and laborious, and cannot provide deformation maps with high spatial sampling densities;

[0003] Synthetic Aperture Radar (SAR) Interferometry (InSAR) is a powerful technique that uses the phase information of different SAR images to obtain high-precision elevation angles and surface deformations along the line-of-sight direction. DInSAR technology has been used to monitor surface movement in coal mining areas, however , the traditional DInSAR is usually affected by time, geometry and atmospheric decorrelation. Due to the low density and uneven distribution of PSs or coherent points, the traditional method has certain limitations in drawing mining subsidence maps, and most coal mining areas Located in the suburbs, man-made objects are too sparse to obtain enough PSI measurement points, therefore, the present invention proposes a method for early identification and monitoring of mine surface subsidence to solve the problems existing in the prior art

Images