Development of Geographic-feature-based
PSInSAR 3D Deformation Monitoring System
http://exhibition.cintec.cuhk.edu.hk/exhibition/project-item/3d-deformation-monitoring/
Prof. LIN Hui
Institute of Space and Earth Information Science
Project Category: Environmental & Green Technologies
Project Description
Subsidence and deformation of natural terrains and artificial buildings, if not detected in time, could cause
disasters leading to personal and property damage. Hence, we need a reliable and accurate PSInSAR data
processing system which can monitor the 3D surface deformation of the natural terrains, artificial areas and geohazard areas.
A series of interferometric synthetic aperture radar (InSAR) platforms formerly developed by the research team of
CUHK have significantly improved the precision and reliability of InSAR technology for specific application purposes
or observed objects, such as large-scale surface subsidence analysis, deformation monitoring on rail transport
facilities, and geological hazards investigation.
In this project, based on specific spatial-temporal deformation characteristics of different monitoring objects, a set
of comprehensive deformation models and high-performance algorithms will be developed and integrated into to
an application-oriented algorithms library. Prior knowledge of geographic feature will be introduced to support
intelligent model matching and optimal algorithm selection.
Aiming at geographic-feature-based multi-dimensional deformation monitoring, this project will expand the
Persistent Scatterer InSAR (PSInSAR/PSI) technology to the field of three-dimensional (3D) deformation monitoring
based on the theory of space intersection. To overcome the limitations of existing 3D deformation monitoring
techniques, a series of models (e.g. PSInSAR intersection model and temporal pixel offsets tracking model) and
corresponding algorithms will be developed. Large-scale parallel computing system based on blade machine will be
established to handle massive spatial and temporal data and to achieve quasi-real-time processing. Meanwhile, a
temporal regression model will be developed to effectively and efficiently analyze additional observation data in
time series.
In recent years, a series of high-resolution SAR remote sensing satellite have been launched. Moreover, massive
SAR image data will be opened to public free of charge in the next three years. However, there is no synthetic
aperture radar remote sensing platform with the aforementioned functions can be found in the market at present.
Hence, the research outputs of this project will provide professional SAR data processing and information services
for the government, institute and industry departments.
Funding
Innovation and Technology Commission
Collaboration
Hong Du (International) Development Company Limited