An atmospheric error correction method and system applied to wide-area synthetic aperture radar interferometry
By using mathematical models and spatiotemporal filters to gradually remove atmospheric errors in wide-area synthetic aperture radar interferometry, the problems of separating and reducing vertical stratification, turbulence, and systematic errors were solved, thereby improving phase accuracy and the reliability of deformation monitoring.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING MUNICIPAL ENG RES INST
- Filing Date
- 2026-04-13
- Publication Date
- 2026-07-10
AI Technical Summary
Existing technologies in wide-area synthetic aperture radar interferometry struggle to effectively separate and reduce vertically stratified atmospheric phase, turbulent atmospheric phase, and residual systematic trend errors, leading to decreased phase accuracy and consistency, and affecting the reliability of deformation monitoring results.
By adopting a technical approach of component-based, layer-based, and link-based stripping, atmospheric errors are gradually removed through the establishment of mathematical models and spatiotemporal joint filters. This includes establishing a linear function model based on the correlation between phase and terrain elevation, spatiotemporal joint filtering, and polynomial surface model fitting and correction to achieve coordinated error processing.
It improves the accuracy and consistency of the phase after atmospheric correction, reduces the impact of long-wavelength drift and random noise on deformation calculation, and enhances the reliability and stability of deformation monitoring results.
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