InSAR point cloud fusion and three-dimensional deformation monitoring method for high-resolution SAR image

Abstract

The invention provides an InSAR point cloud fusion and three-dimensional deformation monitoring method for a high-resolution SAR image. The method comprises the following steps of selecting a proper time sequence DS-InSAR technology to respectively carry out interference pair combination and single-view interference processing on multi-time-domain data of each platform according to a space-time baseline, introducing external DEM data to weaken dense stripes caused by the regional terrain, and carrying out nonLocal filtering and coherence revaluation on an obtained differential interference pattern to obtain an optimal parameter estimation value; and correcting a coded elevation value of each distributed scatterer by utilizing a terrain residual estimated value, acquiring three-dimensionalgeodetic coordinates of all DSs, and accurately registering and fusing a plurality of platforms DS point clouds by utilizing an ICP technology. According to the method, the multi-source SAR data is accurately fused, the mistake matching rate of observation values in a parameter estimation process is reduced, the precision and accuracy of monitoring are improved, and three-dimensional enhanced information of a research area can be obtained in combination with a small amount of ground control points.

Description

technical field [0001] The invention relates to the technical field of fine three-dimensional deformation monitoring based on DS-InSAR technology, in particular to an InSAR point cloud fusion and three-dimensional deformation monitoring method for high-resolution SAR images. Background technique [0002] Interferometric Synthetic Aperture Radar (InSAR) is a new space geodetic method developed in recent decades. Relying on the all-day, all-weather, large-scale (tens of kilometers to hundreds of kilometers) monitoring characteristics of microwave remote sensing and the high-precision (centimeter to millimeter level) and high spatial resolution (tens of meters to sub-meter level) of SAR satellite images InSAR technology has been more and more recognized by experts and scholars, and is widely used to monitor volcanoes, seismic movements, landslides, plate movements, glacier drift, and various surface damage caused by mining, groundwater pumping, and sea reclamation. deformation...

AI Technical Summary

Problems solved by technology

On the one hand, this fusion method cannot be used for point target InSAR technologies (such as PSI, SBAS, etc.), on the other hand, for high-resolution data, the differences of different imaging orbits, reference point parameter errors, propagation delays, etc. It will affect the coding results and ultimately reduce the accuracy of multidimensional parameter inversion. It is necessary to study more accurate multi-source data fusion methods

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