InSAR rapid processing method-GHR-InSAR suitable for deformation geological disaster identification

Abstract

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) rapid processing method, namely GHR-InSAR, suitable for deformation geological disaster identification, and belongs to the crossing field of satellite radar measurement and geological disaster investigation. Firstly, all SAR data are selected to carry out Cn2 combination to calculate a space-time baseline; secondly, DInSAR calculation and phase unwrapping are carried out on SAR data pairs conforming to the space-time baseline criterion, and terrain horizon phases are removed; counting the relationship between the elevation and advection atmospheric phase, establishing an advection atmospheric error model, establishing a turbulence atmospheric model by using spatial filtering, and removing advection and turbulence atmospheric errors according to the two models; and finally, solving a time weighted average value of the multi-period deformation phase with the error removed, offsetting a random error phase, performing superposition enhancement on the deformation phase, and making up a blank area of a local non-interference result of an interferogram in a part of periods. The obtained interference result highlights high-frequency deformation ground disaster information, and the drawing is complete, smooth and small in error, thereby facilitating the later ground disaster recognition.

Description

technical field [0001] The invention relates to the intersection of satellite radar measurement and geological disaster investigation, in particular to an InSAR fast processing method suitable for deformation landslide identification. Background technique [0002] Differential Synthetic Aperture Radar Interferometry (DInSAR, Differential Interferometric Synthetic Aperture Radar, also known as InSAR) is a high-precision microwave observation technology on the ground, which uses the repeated observation of two coherent SAR (Synthetic Aperture Radar) images in the same area ( figure 1 ) to form an interference image ( figure 2 ), the surface deformation information is obtained according to the phase information of the image pixels. The ranging principle is similar to the double-slit interference experiment in high school physics class. [0003] Using InSAR technology to study geoscience problems has the following advantages: [0004] ①The observation accuracy is high, and th...

AI Technical Summary

Problems solved by technology

[0012] In order to solve these problems, the predecessors proposed methods such as stacking-InSAR, SBAS-InSAR, and PS-InSAR. The core idea is to use the intersection of multi-period observations to eliminate errors and discard low coherence values ​​to obtain accurate surface deformation rates; The problem is that often due to the low coherence of one or several pairs of InSAR data in the "local", this "local" cannot be effectively observed. When the "local" of different image pairs forms a collection, a large-scale observation occurs. value gap; the original intention of these algorithms is to accurately measure surface deformation, and this gap needs to be accepted in order to achieve the accuracy goal

[0013] However, the lack of large-scale observations brought about by these algorithms is not applicable to the identification of geological disasters, because the purpose of disaster identification is to find out the location and scope of the disaster, and qualitatively determine the deformation intensity, and the deformation value is not the primary focus. , so the present invention proposes a fast InSAR processing method suitable for deformed landslide recognition—GHR-InSAR (Geohazard Recognition InSAR)

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