scholarly journals Mapping and Characterizing Thermal Dilation of Civil Infrastructures with Multi-Temporal X-Band Synthetic Aperture Radar Interferometry

2018 ◽  
Vol 10 (6) ◽  
pp. 941 ◽  
Author(s):  
Xiaoqiong Qin ◽  
Lu Zhang ◽  
Xiaoli Ding ◽  
Mingsheng Liao ◽  
Mengshi Yang
Keyword(s):  
Synthetic Aperture Radar ◽  
Radar Interferometry ◽  
Synthetic Aperture ◽  
Civil Infrastructures ◽  
Synthetic Aperture Radar Interferometry ◽  
X Band ◽  
Multi Temporal ◽  
Thermal Dilation ◽  
Aperture Radar

scholarly journals On the integration of multi-temporal synthetic aperture radar interferometry products and historical surveys data for buildings structural monitoring

2021 ◽  
Author(s):  
Fabio Di Carlo ◽  
Andrea Miano ◽  
Ilaria Giannetti ◽  
Annalisa Mele ◽  
Manuela Bonano ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Radar Interferometry ◽  
Synthetic Aperture ◽  
Structural Monitoring ◽  
Time Interval ◽  
Synthetic Aperture Radar Interferometry ◽  
Deformation Velocity ◽  
Multi Temporal ◽  
The Impact ◽  
Aperture Radar

AbstractThe management and the safeguard of existing buildings and infrastructures are actual tasks for structural engineering. Non-invasive structural monitoring techniques can provide useful information for supporting the management process and the safety evaluation, reducing at once the impact of disturbances on the structure’s functionality. This paper focuses on the exploitation of advanced multi-temporal differential synthetic aperture radar interferometry (DInSAR) products for the structural monitoring of buildings and infrastructures, subjected to different external actions. In this framework, a methodological approach is proposed, based on the integration of DInSAR measurements with historical sources, accurate 3D modelling and consistent positioning of the reflecting targets in the GIS environment. Documentary sources can prove particularly helpful in collecting technical information, to reconstruct an accurate 3D geometry of the building under monitoring, limiting in-situ surveys. The analysis of DInSAR-based displacements time series and mean deformation velocity values allows the identification of possible critical situations for buildings to be monitored. The paper presents different approaches, with increasing accuracy levels, to study the active deformative processes of the examined buildings and the related damage assessment. An insight into these interpretative approaches is given through the application of the proposed procedure to two case studies in the city of Rome (Italy), the residential building named Torri Stellari in Valco San Paolo (1951–1953) and the housing complex referred to as Corviale (1967–1983), by exploiting the whole COSMO-SkyMed data archive (both ascending and descending acquisitions), collected during the 2011–2019 time interval. Pros and cons of the various approaches are deeply discussed, together with an estimation of the required computational effort.

Deformation information extraction method based on differential synthetic aperture radar interferometry

2020 ◽  
Vol 39 (4) ◽  
pp. 5311-5318
Author(s):  
Zhengquan Hu ◽  
Yu Liu ◽  
Xiaowei Niu ◽  
Guoping Lei
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Adaptive Filtering ◽  
Extraction Method ◽  
Deformation Monitoring ◽  
Radar Interferometry ◽  
Synthetic Aperture ◽  
Filtering Method ◽  
Synthetic Aperture Radar Interferometry ◽  
Aperture Radar

As aerospace technology, computer technology, network communication technology and information technology become more and more perfect, a variety of sensors for measurement and remote sensing are constantly emerging, and the ability to acquire remote sensing data is also continuously enhanced. Synthetic Aperture Radar Interferometry (InSAR) technology greatly expands the function and application field of imaging radar. Differential InSAR (DInSAR) developed based on InSAR technology has the advantages of high precision and all-weather compared with traditional measurement methods. However, DInSAR-based deformation monitoring is susceptible to spatiotemporal coherence, orbital errors, atmospheric delays, and elevation errors. Since phase noise is the main error of InSAR, to determine the appropriate filtering parameters, an iterative adaptive filtering method for interferogram is proposed. For the limitation of conventional DInSAR, to improve the accuracy of deformation monitoring as much as possible, this paper proposes a deformation modeling based on ridge estimation and regularization as a constraint condition, and introduces a variance component estimation to optimize the deformation results. The simulation experiment of the iterative adaptive filtering method and the deformation modeling proposed in this paper shows that the deformation information extraction method based on differential synthetic aperture radar has high precision and feasibility.

Detection of geohazards in the Bailong River Basin using synthetic aperture radar interferometry

Landslides ◽  
2015 ◽  
Vol 13 (5) ◽  
pp. 1273-1284 ◽  
Author(s):  
Yi Zhang ◽  
Xingmin Meng ◽  
Guan Chen ◽  
Liang Qiao ◽  
Runqiang Zeng ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
River Basin ◽  
Radar Interferometry ◽  
Synthetic Aperture ◽  
Synthetic Aperture Radar Interferometry ◽  
Bailong River Basin ◽  
Aperture Radar
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