Ground-based synthetic aperture radar data noise reduction method

Abstract

The invention provides a ground-based synthetic aperture radar data noise reduction method, which comprises the following steps: S1, arranging at least two joint monitoring stations in a monitoring area of a ground-based radar, and arranging a Beidou differential reference station in a stable area; s2, correcting the deformation measurement value based on a vector projection distance weighted atmospheric correction method through the deformation measurement value of the ground-based radar measurement combined monitoring station, and obtaining a radar observation value after atmospheric correction; s3, obtaining a three-dimensional displacement measurement value of the combined monitoring station in real time through the Beidou differential reference station; and S4, fusing the radar observation value and the three-dimensional displacement measurement value after atmospheric correction by using a Kalman filtering algorithm to obtain a deformation value of the joint monitoring station. According to the method, the azimuth atmospheric effect is considered in radar atmospheric correction, and the defect that the azimuth atmospheric effect is not considered in an existing atmospheric correction algorithm is overcome; a ground-based radar and Beidou are adopted for data fusion, and advantage fusion of the ground-based radar and Beidou is achieved.

Description

technical field [0001] The invention relates to the technical field of ground-based radar monitoring, in particular to a ground-based synthetic aperture radar data noise reduction method. Background technique [0002] Engineering disasters such as tailings ponds, open-pit stopes, high and steep slopes, landfills, and buildings and structures are often accumulated over a long period of time and change dynamically. Small deformations in the quantitative stage may not have detailed effects, but when the deformation If the accumulation exceeds the tolerance range of the deformable body, disasters such as landslides and collapses will occur, causing major economic losses and even casualties. Ground-based synthetic aperture radar has a measurement accuracy of submillimeter level, can conduct comprehensive and rapid measurement of a wide range of scenes, and has low comprehensive use cost. It is a very promising technical means for slope deformation monitoring. [0003] There are ...

AI Technical Summary

Problems solved by technology

[0011] The purpose of the present invention is to provide a ground-based synthetic aperture radar data noise reduction method, which aims to solve the problem that the long-term drift of ground-based radar data affects the stability of long-term monitoring. The specific technical solutions are as follows:

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