Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry

2000 ◽  
Vol 38 (5) ◽  
pp. 2202-2212 ◽  
Author(s):  
A. Ferretti ◽  
C. Prati ◽  
F. Rocca
Keyword(s):  
Sar Interferometry ◽  
Rate Estimation ◽  
Subsidence Rate ◽  
Permanent Scatterers ◽  
Differential Sar Interferometry

scholarly journals Persistent Scatterer SAR Interferometry (PSI) for Airport Runways monitoring

2020 ◽  
Author(s):  
Luca Bianchini Ciampoli ◽  
Valerio Gagliardi ◽  
Fabio Tosti ◽  
Alessandro Calvi ◽  
Andrea Benedetto
Keyword(s):  
Time Series ◽  
Sar Interferometry ◽  
Transport Infrastructure ◽  
Image Stack ◽  
Subsidence Rate ◽  
Natural Neighbor ◽  
Persistent Scatterer ◽  
Deformation Velocity ◽  
Permanent Scatterers ◽  
The Mean

<p>In the last decades, monitoring the regional-scale deformation of international airports has become a priority, in order to ensure the highest operational security and safety standards. Within this context, among the most innovative and suitable techniques for transport infrastructures monitoring purpose, Persistent Scatterer SAR Interferometry (PSI) technology has proven to be an effective technique to investigate ground deformations [1-3].</p><p>However, the application of PSI to effectively and continuously monitor settlement in airports is an open challenge. In this study, a long time-series analysis of a high-resolution COSMO-Skymed satellite image-stack, acquired from September 2011 to October 2019, was collected and processed by PSI technique to retrieve the mean deformation velocity and time series of surface deformation of the runways of Leonardo Da Vinci-International Airport.</p><p>The mean PS velocity information is compared to the ground-based levelling-data, collected on the runway using a total station, in order to validate and increase the feasibility of the monitoring processing.</p><p>Finally, various Deformation maps using the Natural Neighbor Geostatistical interpolation algorithm [4], were created and demonstrated a maximum subsidence rate is up to 15.3 mm/yr during the investigated period. The results confirmed the well-known major down-lifting phenomenon over an area, which has undergone routine maintenance.</p><p>Results have demonstrated the viability of integrating InSAR and topographical in-situ survey methods, paving the way to future implementations in prioritizing maintenance activities and helping for decision-making to have a comprehensive and inclusive information data system for the investigation of survey sites.</p><p>The research is supported by the Italian Ministry of Education, University and Research under the National Project “Extended resilience analysis of transport networks (EXTRA TN): Towards a simultaneously space, aerial and ground sensed infrastructure for risks prevention”, PRIN 2017, Prot. 20179BP4SM</p><p> </p><p>[1] Bianchini Ciampoli, L., Gagliardi, V., Clementini, C. et al. Transport Infrastructure Monitoring by InSAR and GPR Data Fusion. Surv Geophys (2019). https://doi.org/10.1007/s10712-019-09563-7</p><p>[2] Ferretti, A., Prati, C., Rocca, F., 2000. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Trans. Geosci. 38 (5), 2202–2212. https://doi.org/10.1109/36.868878.</p><p>[3] Ferretti, A., Prati, C., Rocca, F.,2001. Permanent scatterers in SAR interferometry. IEEE Trans. Geosci. Remote Sens. 2001, 39, 8–20.</p><p>[4] Sibson, R. (1981). "A brief description of natural neighbor interpolation (Chapter 2)". In V. Barnett (ed.). Interpolating Multivariate Data. Chichester: John Wiley. pp. 21–36.</p>

Subsidence rate monitoring of Aghajari oil field based on Differential SAR Interferometry

2013 ◽  
Vol 51 (12) ◽  
pp. 2285-2296 ◽  
Author(s):  
N. Fouladi Moghaddam ◽  
M.R. Sahebi ◽  
A.A. Matkan ◽  
M. Roostaei
Keyword(s):  
Oil Field ◽  
Sar Interferometry ◽  
Subsidence Rate ◽  
Differential Sar Interferometry

scholarly journals High-Quality Pixel Selection Applied for Natural Scenes in GB-SAR Interferometry

2021 ◽  
Vol 13 (9) ◽  
pp. 1617
Author(s):  
Yunkai Deng ◽  
Weiming Tian ◽  
Ting Xiao ◽  
Cheng Hu ◽  
Hong Yang
Keyword(s):  
Phase Measurement ◽  
High Amplitude ◽  
Sar Interferometry ◽  
Spatial Density ◽  
Natural Scenes ◽  
Sar Images ◽  
High Quality ◽  
Temporal Phase ◽  
Permanent Scatterers ◽  
High Phase

Phase analysis based on high-quality pixel (HQP) is crucial to ensure the measurement accuracy of ground-based SAR (GB-SAR). The amplitude dispersion (ADI) criterion has been widely applied to identify pixels with high amplitude stability, i.e., permanent scatterers (PSs), which typically are point-wise scatterers such as stones or man-made structures. However, the PS number in natural scenes is few and limits the GB-SAR applications. This paper proposes an improved method to take HQP selection applied for natural scenes in GB-SAR interferometry. In order to increase the spatial density of HQP for phase measurement, three types of HQPs including PS, quasi-permanent scatter (QPS), and distributed scatter (DS), are selected with different criteria. The ADI method is firstly utilized to take PS selection. To select those pixels with high phase stability but moderate amplitude stability, the temporal phase coherence (TPC) is defined. Those pixels with moderate ADI values and high TPC are selected as QPSs. Then the feasibility of the DS technique is explored. To validate the feasibility of the proposed method, 2370 GB-SAR images of a natural slope are processed. Experimental results prove that the HQP number could be significantly increased while slightly sacrificing phase quality.

scholarly journals Spaceborne Differential SAR Interferometry: Data Analysis Tools for Deformation Measurement

2011 ◽  
Vol 3 (2) ◽  
pp. 305-318 ◽  
Author(s):  
Michele Crosetto ◽  
Oriol Monserrat ◽  
María Cuevas ◽  
Bruno Crippa
Keyword(s):  
Data Analysis ◽  
Deformation Measurement ◽  
Sar Interferometry ◽  
Analysis Tools ◽  
Differential Sar Interferometry
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