Elevation Extraction and Deformation Monitoring by Multitemporal InSAR of Lupu Bridge in Shanghai

• Published in: Remote sensing (Basel, Switzerland) Switzerland), 2017-09, Vol.9 (9), p.897
• Main Authors: Zhao, Jingwen, Wu, Jicang, Ding, Xiaoli, Wang, Mingzhou
• Format: Article
• Language: English
• Subjects: Algorithms; Arch bridges; Arches; Bridge decks; Catastrophic failure analysis; Dam construction; Data processing; Deformation; deformation monitoring; Economic impact; Elevation; elevation extraction; Extraction; Highways; Image acquisition; InSAR; Interferometric synthetic aperture radar; Interferometry; Iterative methods; LLL lattice reduction; long–short baseline iteration; Lupu Bridge; Spatial discrimination; Spatial resolution; Structural failure; Tunnels; Urban areas; Urban development
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs9090897

Monitoring, assessing, and understanding the structural health of large infrastructures, such as buildings, bridges, dams, tunnels, and highways, is important for urban development and management, as the gradual deterioration of such structures may result in catastrophic structural failure leading to high personal and economic losses. With a higher spatial resolution and a shorter revisit period, interferometric synthetic aperture radar (InSAR) plays an increasing role in the deformation monitoring and height extraction of structures. As a focal point of the InSAR data processing chain, phase unwrapping has a direct impact on the accuracy of the results. In complex urban areas, large elevation differences between the top and bottom parts of a large structure combined with a long interferometric baseline can result in a serious phase-wrapping problem. Here, with no accurate digital surface model (DSM) available, we handle the large phase gradients of arcs in multitemporal InSAR processing using a long–short baseline iteration method. Specifically, groups of interferometric pairs with short baselines are processed to obtain the rough initial elevation estimations of the persistent scatterers (PSs). The baseline threshold is then loosened in subsequent iterations to improve the accuracy of the elevation estimates step by step. The LLL lattice reduction algorithm (by Lenstra, Lenstra, and Lovász) is applied in the InSAR phase unwrapping process to rapidly reduce the search radius, compress the search space, and improve the success rate in resolving the phase ambiguities. Once the elevations of the selected PSs are determined, they are used in the following two-dimensional phase regression involving both elevations and deformations. A case study of Lupu Bridge in Shanghai is carried out for the algorithm’s verification. The estimated PS elevations agree well (within 1 m) with the official Lupu Bridge model data, while the PS deformation time series confirms that the bridge exhibits some symmetric progressive deformation, at 4–7 mm per year on both arches and 4–9 mm per year on the bridge deck during the SAR image acquisition period.