Multi-Link InSAR Time Series: Enhancement of a Wrapped Interferometric Database

Pinel‐Puysségur, Béatrice; Michel, R.; Avouac, Jean Philippe

doi:10.1109/jstars.2012.2196758

Cited by 44 publications

(33 citation statements)

References 29 publications

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“…The dates inducing strong atmospheric effects were determined using pairwise logic [ Massonnet and Feigl , ]. For example, for track 213, we found that the tropospheric effects on 15 July 2008 strongly affected the radar wave propagation time as all interferograms using this date were affected whereas interferograms without this date were not affected [ Pinel‐Puysségur et al , ]. Similar analysis shows that significant atmospheric effects were also present on 19 August and 23 September 2008.…”

Section: Measuring the Ground Displacement With Insar: Methods And Resmentioning

confidence: 93%

“…For track 363, 5 images yielded 8 interferograms and for track 213, 12 images yielded 31 interferograms. The database of wrapped interferograms was filtered using the Multilink SAR method [Pinel-Puysségur et al, 2012], which enhances the wrapped phase signal quality based on interferogram network redundancy. Black continuous lines are mapped faults [Kazmi, 1979;Nakata et al, 1991].…”

Section: Interferometric Processingmentioning

confidence: 99%

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Multifaulting in a tectonic syntaxis revealed by InSAR: The case of the Ziarat earthquake sequence (Pakistan)

et al. 2014

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On 28-29 October 2008, within 12 h, two similar Mw = 6.4 strike-slip earthquakes struck Baluchistan (Pakistan), as part of a complex seismic sequence. Interferometric Synthetic Aperture Radar (InSAR) data reveal that the peak of surface displacement is near the Ziarat anticline, a large active fold affected by Quaternary strike-slip faulting. All coseismic interferograms integrate the deformation due to both earthquakes. As their causative faults ruptured close to each other, the individual signals cannot be separated. According to their focal mechanisms, each earthquake may have activated a NE-SW sinistral or a NW-SE dextral fault segment, which leads to four possible scenarios of fault orientations. A nonlinear inversion of the InSAR data set allows rejecting two scenarios. The best slip distributions on the two fault segments for the two remaining scenarios are determined by linear inversion. Stress-change modeling favors a scenario involving two abutting conjugate strike-slip faults. Two other fault segments accommodated left-lateral strike slip during the seismic sequence. The activated fault system includes multiple fault segments with different orientations and little surface expression. This may highlight, at a smaller scale, the distributed, possibly transient character of deformation within a broader right-lateral shear zone. It suggests that the activated faults delineate a small tectonic block extruding and subtly rotating within the shear zone. It occurs in the vicinity of the local tectonic syntaxis where orogenic structures sharply turn around a vertical axis. These mechanisms could participate in the long-term migration of active tectonic structures within this kinematically unstable tectonic syntaxis.

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Section: Measuring the Ground Displacement With Insar: Methods And Resmentioning

confidence: 93%

Section: Interferometric Processingmentioning

confidence: 99%

Multifaulting in a tectonic syntaxis revealed by InSAR: The case of the Ziarat earthquake sequence (Pakistan)

et al. 2014

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“…In order to evaluate the filtered interferograms without the high-resolution DEM ground truth of this area, we utilize the Colinearity Criterion proposed in [57], which is defined as:…”

Section: B Real Datamentioning

confidence: 99%

Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

Kang

Hong

Liu

et al. 2021

IEEE Trans. Neural Netw. Learning Syst.

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This is the pre-acceptance version, to read the final version please go to IEEE Transactions on Neural Networks and Learning Systems on IEEE Xplore. Interferometric phase restoration has been investigated for decades and most of the state-of-the-art methods have achieved promising performances for InSAR phase restoration. These methods generally follow the nonlocal filtering processing chain aiming at circumventing the staircase effect and preserving the details of phase variations. In this paper, we propose an alternative approach for InSAR phase restoration, i.e. Complex Convolutional Sparse Coding (Com-CSC) and its gradient regularized version. To our best knowledge, this is the first time that we solve the InSAR phase restoration problem in a deconvolutional fashion. The proposed methods can not only suppress interferometric phase noise, but also avoid the staircase effect and preserve the details. Furthermore, they provide an insight of the elementary phase components for the interferometric phases. The experimental results on synthetic and realistic high-and medium-resolution datasets from TerraSAR-X StripMap and Sentinel-1 interferometric wide swath mode, respectively, show that our method outperforms those previous state-of-the-art methods based on nonlocal InSAR filters, particularly the state-of-the-art method: InSAR-BM3D. The source code of this paper will be made publicly available for reproducible research inside the community.Index Terms-Convolutional dictionary learning, sparse coding, SAR interferometry (InSAR), nonlocal filtering

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“…More recently, some new hybrid multi-temporal InSAR noise-filtering approaches, based on the joint exploitation of sequences of InSAR interferograms, have also been proposed [65][66][67][68].…”

Section: Noise Signals Corrupting Sar Interferogramsmentioning

confidence: 99%

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

2017

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Synthetic Aperture RADAR Interferometry (InSAR) provides a unique tool for the quantitative measurement of the Earth's surface deformations induced by a variety of natural (such as volcanic eruptions, landslides and earthquakes) and anthropogenic (e.g., ground-water extraction in highly-urbanized areas, deterioration of buildings and public facilities) processes. In this framework, use of InSAR technology makes it possible the long-term monitoring of surface deformations and the analysis of relevant geodynamic phenomena. This review paper provides readers with a general overview of the InSAR principles and the recent development of the advanced multi-track InSAR combination methodologies, which allow to discriminate the 3-D components of deformation processes and to follow their temporal evolution. The increasing availability of SAR data collected by complementary illumination angles and from different RADAR instruments, which operate in various bands of the microwave spectrum (X-, L-and C-band), makes the use of multi-track/multi-satellite InSAR techniques very promising for the characterization of deformation patterns. A few case studies will be presented, with a particular focus on the recently proposed multi-track InSAR method known as the Minimum Acceleration (MinA) combination approach. The presented results evidence the validity and the relevance of the investigated InSAR approaches for geospatial analyses.

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Multi-Link InSAR Time Series: Enhancement of a Wrapped Interferometric Database

Abstract: International audienc

Cited by 44 publications

References 29 publications

Multifaulting in a tectonic syntaxis revealed by InSAR: The case of the Ziarat earthquake sequence (Pakistan)

Multifaulting in a tectonic syntaxis revealed by InSAR: The case of the Ziarat earthquake sequence (Pakistan)

Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

A Review of Interferometric Synthetic Aperture RADAR (InSAR) Multi-Track Approaches for the Retrieval of Earth’s Surface Displacements

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