ts-insar Atmospheric Phase Filtering Method Based on Blocking Strategy

Abstract

The invention provides a TS-InSAR atmospheric phase filtering method based on blocking strategy. The method comprises the following steps: dividing the original SAR image data into equal data blocks and gathering the information of permanent scattering points; with the data blocks as a center to select a central data block group and based on the established filtering parameters and the information of permanent scattering points, calculating the central filtering value of the central data block group and the filtering value surrounding the central data block group; and based on the central filtering value of the central data block group and the filtering value surrounding the central data block group, obtaining the filtering value of the permanent scattering points. The present invention eliminates the need to repeatedly calculate the filter value of each permanent scatter point, greatly improving the filtering efficiency. The combination of a precisely filtering method and approximately filtering method ensures high precision while increasing the speed considerably. The method can be adaptive to different filtering radiuses and different data types.

Description

technical field [0001] The invention relates to the technical field of interference synthetic aperture radar, and relates to a TS-InSAR atmospheric phase filtering method based on a block strategy. Background technique [0002] To apply synthetic aperture radar technology to surface deformation monitoring, the first theory proposed is the heavy-orbit differential interferometry technology. However, due to the influence of time and space decoherence and atmospheric fluctuations at different times, the application of heavy-orbit differential interferometry technology to surface deformation monitoring has been greatly restricted. It is precisely because of these limitations that it is difficult to achieve the ideal meter-level digital elevation model (DEM) and millimeter-level deformation monitoring for the Interferometric Synthetic Aperture Radar (InSAR) using traditional heavy-orbit differential technology. In order to solve these problems, time series Interferometric technol...

AI Technical Summary

Problems solved by technology

In reality, the image is based on a scene, and the azimuth and distance sampling points of each scene image can reach tens of thousands, and the number of PS points can reach hundreds of thousands. Using traditional methods, the filtering time can reach hours or even days. , for disaster warning or weather forecast, it is far from meeting the real-time and accuracy requirements of disaster warning and weather forecast

[0004] In short, the existing phase filtering technology still has shortcomings such as high time complexity, large amount of calculation, and many redundant calculations. Therefore, it is urgent to develop a fast, high-precision, atmospheric phase filtering technology for large-scale and large-scale SAR image data.

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