A Hybrid Method for Stability Monitoring in Low-Coherence Urban Regions Using Persistent and Distributed Scatterers

Shi, Guo Qing; Lin, Hui; Ma, Peifeng

doi:10.1109/jstars.2018.2867832

Cited by 19 publications

(16 citation statements)

References 41 publications

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“…To build up the basis of the first-tier PS network, the Delaunay triangulation network was adapted to connect the PS candidates, i.e., with ADI smaller than a given threshold. The atmospheric phase screen (APS) is considered to be same within a relatively close distance [20,42]. Therefore, the APS on one of the two PSs can be removed by subtracting the phase of its adjacent PS neighbor.…”

Section: Combined Processing Of Ps and Dsmentioning

confidence: 99%

“…Therefore, the APS on one of the two PSs can be removed by subtracting the phase of its adjacent PS neighbor. Before estimating the arc parameters, we reject these long arcs as the assumption of APS homogeneity may be broken [20,42]. The reserved arcs are then used to estimate arc parameters between the linked PSs, through the beamforming estimator,…”

Section: Combined Processing Of Ps and Dsmentioning

confidence: 99%

“…Such that, ground features captured by the radar echo tend to be uniform in the pixel, with evenly scattering properties but not a dominated reflection from a persistent scatterer. For example, on the pavements, asphalt roads, building facades, roofs, other concrete surfaces etc., radar returns are weak due to specular reflections [20]. Pixels over these areas are normally with higher phase noise than those of a direct reflecting, which makes them behave like a DS.…”

Section: Introductionmentioning

confidence: 99%

“…This change has further shortened the execution time, as the matrix inversion operation is omitted in the iteration. To jointly process PS and DS pixels, the two-tier network strategy connecting the PS layer and the DS layer was adopted [20]. Geophysical parameters along the network arcs are resolved using robust estimators of beamforming and M-estimator [42].…”

Section: Introductionmentioning

confidence: 99%

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Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Shi

Lin

et al. 2020

Remote Sensing

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The improved spatial resolution of Synthetic Aperture Radar (SAR) images from newly launched sensors has promoted a more frequent use of distributed scatterer (DS) interferometry (DSI) in urban monitoring, pursuing sufficient and detailed measurements. However, the commonly used statistical methods for homogeneous pixel clustering by exploring amplitude information are firstly, computationally intensive; furthermore, their necessity when applied to high-coherent built scenarios is little discussed in the literature. This paper explores the potential of using phase information for the detection of homogeneous pixels on built surfaces. We propose a simple phase-correlated pixel (PCP) clustering and introduce a coherence-weighted phase link (WPL), i.e., PCPWPL, to pursue a faster processing of interferogram phase denoising. Rather than relying on the statistical tests of amplitude characteristics, we exploit vector correlation in the complex domain to identify PCPs with similar phase observations, thus, avoiding the intensive hypothesis test. A coherence-weighted phase linking is applied for DS phase reconstruction. The estimation of geophysical parameters, e.g., deformation, is completed using an integrated network of persistent scatterers (PS) and DS. Efficiency of the proposed method is fairly illustrated by both synthetic and real data experiments. Pros and cons of the proposed PCPWPL were analyzed with the comparison to a conventional amplitude-based strategy using an X-band CosmoSkyMed dataset. It is demonstrated that the use of phase correlation is sufficient for DS monitoring in built scenarios, with equivalent measurement quantity and cheaper computational cost.

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Section: Combined Processing Of Ps and Dsmentioning

confidence: 99%

Section: Combined Processing Of Ps and Dsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Shi

Lin

et al. 2020

Remote Sensing

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“…In this approach, an amplitude-based statistical test (Kolmogorov-Smirnov test) is exploited to adaptively select homogeneous pixels and accurately estimate the covariance matrix; a phase triangulation algorithm, which is based on a maximum likelihood (ML) estimator, is applied to each DS to retrieve the optimized phase estimates of the N−1 phase based on N(N−1)/2 interferograms generated from N SAR images. As demonstrated in [28][29][30][31][32], the SqueeSAR™ approach and its variants can significantly improve the density and quality of InSAR MPs over non-urban areas. However, this DSI techniques also have their drawbacks.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Coastal Reclamation Subsidence in Hong Kong with Distributed Scatterer Interferometry

Sun

Jiang

et al. 2018

Remote Sensing

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Land subsidence has been a significant problem in land reclaimed from the sea, and it is usually characterized by a differential settlement pattern due to locally unconsolidated marine sediments and fill materials. Time series Synthetic Aperture Radar Interferometry (InSAR) techniques based on distributed scatterers (DS), which can identify sufficient measurement points (MPs) when point-wise radar targets are lacking, have great potential to measure such differential reclamation settlement. However, the computational time cost has been the main drawback of current distributed scatterer interferometry(DSI) for its applications compared to the standard PSI analysis. In this paper, we adopted an improved DSI processing strategy for a fast and robust analysis of land subsidence in reclaimed regions, which is characterized by an integration of fast statistically homogeneous pixel selection based (FaSHPS-based) DS detection and eigendecomposition phase optimization. We demonstrate the advantages of the proposed DSI strategy in computational efficiency and deformation estimation reliability by applying it to two TerraSAR-X image data stacks from 2008 to 2009 to retrieve land subsidence over two typical reclaimed regions of Hong Kong International Airport (HKIA) and Hong Kong Science Park (HKSP). Compared with the state-of-the-art DSI methods, the proposed strategy significantly improves the computational efficiency, which is enhanced approximately 30 times in DS identification and 20 times in phase optimization. On average, the DSI strategy results in 7.8 and 3.7 times the detected number of MPs for HKIA and HKSP with respect to persistent scatter interferometry (PSI), which enables a very detailed characterization of locally differential settlement patterns. Moreover, the DSI-derived results agree well with the levelling survey measurements at HKIA, with a mean difference of 1.87 mm/yr and a standard deviation of 2.08 mm/yr. The results demonstrate that the proposed DSI strategy is effective at improving target density, accuracy and efficiency in monitoring ground deformation, particularly over reclaimed coastal areas.

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Urban Sensing with Spaceborne Interferometric Synthetic Aperture Radar

Liang

Ding

et al. 2021

Urban Informatics

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Synthetic aperture radar (SAR) and interferometric SAR (InSAR) are state-of-the-art radar remote sensing technologies and are very useful for urban remote sensing. The technologies have some very special characteristics compared to optical remote sensing and are especially advantageous in cloudy regions due to the ability of the microwave radar signals used by the current SAR sensors to penetrate clouds. This chapter introduces the basic concepts of SAR, differential InSAR, and multi-temporal InSAR, and their typical applications in urban remote sensing. Examples of applying the various InSAR techniques in generating DEMs and monitoring ground and infrastructure deformation are given. The capabilities and limitations of InSAR techniques in urban remote sensing are briefly discussed.

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A Hybrid Method for Stability Monitoring in Low-Coherence Urban Regions Using Persistent and Distributed Scatterers

Cited by 19 publications

References 41 publications

Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Potential of Using Phase Correlation in Distributed Scatterer InSAR Applied to Built Scenarios

Monitoring Coastal Reclamation Subsidence in Hong Kong with Distributed Scatterer Interferometry

Urban Sensing with Spaceborne Interferometric Synthetic Aperture Radar

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