Novel differential InSAR LOS direction deformation quantity estimation method

Abstract

The invention discloses a novel differential InSAR LOS direction deformation quantity estimation method comprising the following steps that: data preprocessing: SAR main image selection and image combination are carried out to generate image pairs on the premise of satisfying space baseline and time baseline requirements, registration is carried out according to DEM and the selected SAR main image, the DEM scope is clipped to be consistent with the SAR main image scope, pre-filtering is carried out on the registered main image and the registered auxiliary image, and calculatinon is conducted to generate an interferogram; differential interference calculation: a flat ground phase is calculated according to space baseline parameters and earth ellipsoid parameters, a terrain phase is calculated by using the registered DEM, a differential interferogram is generated from the interferometric phase, a coherence map is generated by using filtered main and auxiliary image differential interferometric phase pixels, and the phase-wound differential interferogram is unwrapped; lOS direction deformation quantity calculation: unwrapping phases are converted into deformation quantity in the sightline direction according to radar wavelength parameters in combination with external auxiliary data after phase-to-deformation calculation is carried out, and geocoding is carried out through DEM products.

Description

technical field [0001] The invention relates to the field of radar technology for surveying and remote sensing, in particular to a method for estimating the deformation amount in the LOS direction of a novel differential InSAR. Background technique [0002] Most of the existing monitoring methods are to install a variety of sensors on the ground for monitoring, vertical inclination holes, external deformation observation piers, vertical displacement, measuring points, multi-point displacement meters, GNSS, anchor cable dynamometers, anchor cable dynamometers , anchor tendon dynamometer, osmometer, etc. The measurement content is mostly internal deformation monitoring of the cracked body, external deformation monitoring, seepage pressure and support body stress monitoring, etc. The advantages of these methods are high measurement accuracy and reliable results. The disadvantages are that it consumes a lot of manpower and material resources, high cost, sparse measurement points...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing monitoring methods are to install a variety of sensors on the ground for monitoring, vertical inclination holes, external deformation observation piers, vertical displacement, measuring points, multi-point displacement meters, GNSS, anchor cable dynamometers, anchor cable dynamometers , anchor tendon dynamometer, osmometer, etc. The measurement content is mostly internal deformation monitoring of the cracked body, external deformation monitoring, seepage pressure and support body stress monitoring, etc. The advantages of these methods are high measurement accuracy and reliable results. The disadvantages are that it consumes a lot of manpower and material resources, high cost, sparse measurement points, and long re-measurement intervals. The safety of monitoring personnel cannot be effectively guaranteed, the monitoring range is small, and it is greatly affected by the environment. There is a large flow of personnel and uneven professional quality. Working in remote mountainous areas all year round, employees tend to have strong inertia and fluke thinking, weak safety awareness, difficult measurement, and serious human factors. The accuracy and timeliness of monitoring data cannot be guaranteed. Existing monitoring technical means cannot satisfy large-scale and high-frequency monitoring, and it is urgent to find new technical means

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