A comparison of time series deformation models based on Small Baseline Subset Interferometric Synthetic Aperture Radar for soft clay subgrade settlement

Xuemin Xing, Hsing-Chung Chang, Lifu Chen, Zhihui Yuan

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    Abstract

    Roads and highways built on soft clay subgrade are more prone to subsidence and induced instability. Therefore, monitoring long term surface deformation near the highways over soft clay subgrade is crucial for understanding the dynamics of the settlement process and prevent potential hazards. The precision of deformation estimation using time series radar interferometry (InSAR) techniques is restrained by the temporal deformation model. In this study, a comparison of four widely used time series deformation models in InSAR, namely Linear Velocity Model (LVM), Permanent Velocity Model (PVM), Seasonal Model (SM) and Cubic Polynomial Model (CPM), was conducted in order to understand and assess long term deformation process after constructing road embankment. To assess and validate these four selected models, both simulation and real deformation data over Lungui highway (a typical highway built on soft clay subgrade in Guangdong province, China) have been investigated using Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique with TerraSAR-X satellite imagery. The scenario using the simulated data showed all four models achieved satisfactory results when using Singular Value Decomposition (SVD) algorithm to estimate different deformation coefficients. However, LVM showed the least accuracy among the four models. This suggested LVM has higher estimation error due to its higher number of unknowns in the model. While in real data experiment, three precision indices were used to measure the residual phase, mean temporal coherence, and the root-mean-square-error (RMSE) of high-pass deformation, respectively. The results showed LVM and SM had better performance. In conclusion, SM is more suitable for the surface subsidence modeling and monitoring for highways built on soft clay subgrade in this case study.

    Original languageEnglish
    Title of host publication2017 Eleventh International Conference on Sensing Technology (ICST)
    Subtitle of host publicationproceedings
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages521-526
    Number of pages6
    ISBN (Electronic)9781509065264, 9781509065257
    ISBN (Print)9781509065271
    DOIs
    Publication statusPublished - 2017
    Event2017 Eleventh International Conference on Sensing Technology - Sydney, Australia
    Duration: 4 Dec 20176 Dec 2017
    Conference number: 11th

    Conference

    Conference2017 Eleventh International Conference on Sensing Technology
    Abbreviated titleICST
    CountryAustralia
    CitySydney
    Period4/12/176/12/17

    Keywords

    • Deformation
    • SBAS InSAR
    • Soft clay subgrade
    • Time series

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