Time difference baseline set time series interferometric SAR (Synthetic Aperture Radar) processing method

Abstract

The invention discloses a time difference baseline set time series interferometric SAR (Synthetic Aperture Radar) processing method, which is characterized in comprising the following steps that: carrying out time difference interferometric processing on (N+1) pieces of SAR images of which the scenes are registered to form an interferometric pair; utilizing an external evaluation model to determine the terrain phase position and the flat ground phase position of a processing region for removing the terrain phase position and the flat ground phase position of the processing region; according tothe formed interferometric pair, determining a spatial baseline; through a one-dimensional regression way, determining elevation correction; through the one-dimensional regression way, determining deformation; and obtaining an atmospheric phase position and nonlinear deformation, and through the elevation correction and deformation resolution, determining linear deformation, nonlinear deformation, atmospheric phase position and an elevation correction semaphore. By use of the method, an adjacent image is used for effectively avoiding the influence of time de-coherence and improving processingaccuracy, two-dimensional regression analysis is decomposed into two pieces of one-dimensional regression analysis, so that operation efficiency is greatly improved, and operation complexity is lowered.

Description

technical field [0001] The invention relates to a synthetic aperture radar processing technology, and further relates to a time-difference baseline set time-series interference SAR processing method. Background technique [0002] In recent decades, with the introduction of Time Series Interferometric Synthetic Aperture Radar (TSInSAR), the application of InSAR has been greatly expanded. This method recognizes highly coherent scatterers in the scene, such as houses, tall buildings, Artificial buildings such as roads and exposed rocks are only extracted from coherent scatterers (Coherent Scatterers, CS) with very stable scattering characteristics, such as deformation signals, atmospheric delays, and elevation errors. Effects of decoherence and spatial decoherence. However, in non-urban areas, the CS points that can be identified by this technology are very limited, and sufficient deformation monitoring accuracy cannot be guaranteed, which seriously affects the application ran...

AI Technical Summary

Problems solved by technology

However, the disadvantages of this time-series interferometric SAR technology are the low density of monitoring points, high algorithm complexity, large amount of calculation, and low efficiency.

In order to further suppress the influence of temporal decoherence and spatial decoherence, a small baseline set technique is proposed, figure 2 The processing flow is given. This technology interferometrically combines all images with time baselines and space baselines within a certain threshold to obtain one or several sets of interference pairs. After phase unwrapping, the singular value decomposition (Singular Value Decomposition, SVD) method is used. Find time series deformations, but this method sacrifices resolution and requires phase unwrapping

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