InSAR distributed scatterer phase optimization method

Abstract

The invention belongs to the technical field of interferometry synthetic aperture radar data processing, and discloses an InSAR (Interferometry Synthetic Aperture Radar) distributed scatterer phase optimization method. The InSAR distributed scatterer phase optimization method includes the steps: acquiring SAR image stacks of the same region, selecting the main image, and successively registering the residual images to the main image geometrical space; detecting the amplitude sequence time variation values of the pixels in the image, and rejecting the amplitude sequence time variation values; constructing a confidence interval, determining whether the amplitude sequence mean value of each pixel in a fixed window taking the pixel as the center in the image falls into the confidence interval,and if so, determining that the point is the statistical homologous points SHPs of the central pixel; calculating the value of assessment of the sample coherent coefficient of the pixel, and performing deviation correction; according to the threshold, identifying the distributed scatterers in the image; constructing the maximum likelihood estimation function of the distributed scatterer phase sequence; and solving the maximum likelihood estimation function to obtain the optimal solution and complete phase optimization. Compared with the prior art, the InSAR distributed scatterer phase optimization method has the advantages of high accuracy, wide application range, and high operation efficiency.

Description

technical field [0001] The invention belongs to the technical field of synthetic aperture radar interferometry data processing, and in particular relates to an InSAR distributed scatterer phase optimization method. Background technique [0002] Synthetic aperture radar interferometry (Interferometry Synthetic Aperture Radar, InSAR) has gradually become a new favorite in the field of geodesy due to its wide coverage and high measurement accuracy. In order to eliminate the impact of time and space decoherence and atmospheric delay effects on the accuracy of InSAR technology, a high-precision differential interferometry technology based on timing analysis came into being. Among the existing timing analysis methods, the most widely used is PSI (Persistent Scatterer Interferometry) technology. Existing studies have shown that this technology can obtain high-precision and high-resolution surface deformation information on artificial surfaces, but the accuracy on non-artificial sur...

AI Technical Summary

Problems solved by technology

First of all, this technology uses the K-S test to detect homogeneous points. The detection accuracy of the K-S test is easily affected by the sample distribution, and it is not universal. Second, this technology does not consider the deviation of the sample coherence matrix when constructing the maximum likelihood estimation function of the DS phase sequence problem, and the solution efficiency of DS phase optimization using BFGS is very low

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