A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR

Ferretti, A.; Fumagalli, Alfio; Novali, F.; Prati, C.; Rocca, F.; Rucci, A.

doi:10.1109/tgrs.2011.2124465

Cited by 1,454 publications

(1,185 citation statements)

References 30 publications

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“…The proposed algorithm arises from the observation (Pepe and Lanari 2006, Pepe 2009, Ferretti et al 2011) that the generated (wrapped) multi-look interferograms are not fully time-consistent because the multi-look operations (and, if implemented, also the additional noise-filtering steps) are independently carried out on each single interferometric data pair. Indeed, the sum of three multi-look interferograms computed from the SAR images acquired at the generic epochs, t A , t B and t C , namely…”

Section: Interferogram Noise-filtering Algorithmmentioning

confidence: 99%

“…This selection permits to rely on the distributed scattering hypothesis (which is met when no dominant scatterers, such as artificial objects, are present in the resolution cell, Bamler and Hartl (1998)) under which the probability density function of the complex-valued SAR image may be regarded as being a zero-mean multivariate circular normal distribution. Under this assumption, an appropriate maximum likelihood estimation step of the filtered phase values associated with each SAR acquisition can be implemented (Ferretti et al 2011). Because in our approach we focus on conventional multi-look interferograms, with no need of a pixel selection step, we cannot rely on the validity of the above mentioned distributed scattering hypothesis.…”

Section: Interferogram Noise-filtering Algorithmmentioning

confidence: 99%

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A simple solution to mitigate noise effects in time-redundant sequences of small baseline multi-look DInSAR interferograms

Yang

Pepe

Manzo

et al. 2013

Remote Sensing Letters

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Letters, 2013 Vol. 4, No. 6, 609-618, http://dx.doi.org/10.1080/2150704X.2013 A simple solution to mitigate noise effects in time-redundant sequences of small baseline multi-look DInSAR interferograms We present a simple and effective filtering algorithm to mitigate noise effects in a time-redundant sequence of multi-look small baseline (SB) differential synthetic aperture radar (SAR) interferograms by exploiting the temporal relationships among the selected interferometric data pairs. The proposed method relies on the estimation of the (wrapped) filtered phase terms associated to each SAR acquisition; this result is achieved via a non-linear minimization procedure which is applied to the phase signal of conventional multi-look interferograms without any pixel selection process, and with no a-priori information on the statistics of the involved complex-valued SAR images. Following their estimation, the phase images are paired to reconstruct a new sequence of filtered SB differential interferograms, which are used to generate surface deformation products, such as deformation velocity maps and displacement time-series. The filtering algorithm effectiveness is demonstrated by analysing a set of SAR images acquired by the ENVISAT sensor from 2003 to 2010 over the city of Shanghai, China.

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Section: Interferogram Noise-filtering Algorithmmentioning

confidence: 99%

Section: Interferogram Noise-filtering Algorithmmentioning

confidence: 99%

A simple solution to mitigate noise effects in time-redundant sequences of small baseline multi-look DInSAR interferograms

Yang

Pepe

Manzo

et al. 2013

Remote Sensing Letters

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“…The measure of land motions above producing reservoirs has advanced immensely over the past two decades owing to the development of synthetic aperture radar (SAR)-based methodologies (Fielding et al, 1998;Xu et al, 2001). The most recent multi-image multitrack technologies (Hooper, 2008;Ferretti et al, 2011) provide high-precision (millimetric) time series of vertical and horizontal west-east displacements on highdensity (up to a few thousands per km 2 ) coherent radar reflectors spread on the study area.…”

Section: Introductionmentioning

confidence: 99%

Efficient global optimization of reservoir geomechanical parameters based on synthetic aperture radar-derived ground displacements

et al. 2016

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When large volumes of fluids are removed from or injected into underground formations for, e.g., hydrocarbon and water production, CO 2 storage, gas storage, and geothermal energy exploitation, monitoring of surface deformations coupled to numerical modeling improves our understanding of reservoir behavior. The ability to accurately simulate surface displacements, however, is often impaired by limited information on reservoir geometry, waterdrive strength, and fluid-geomechanical parameters characterizing the geologic formations of interest. We have investigated the ability of efficient global optimization (EGO) to reduce the parameter uncertainties usually affecting geomechanical modeling. EGO is used to identify the parameter set that minimizes the difference in land displacements obtained from synthetic aperture radar (SAR)-derived measurements and 3D geomechanical modeling. We have tested the approach on the Tengiz giant oil field, Kazakhstan, where large uncertainties affect our knowledge of geomechanical parameters and pore pressure evolution. SqueeSAR on ENVISAT and RADARSAT-1 images acquired between 2004 and 2007 provided a set of high-precision, high-areal-density subsidence measurements of the test site. Based on the available information, a 3D geomechanical model of the reservoir has been developed using the elastoplastic finite-element code GEPS3D. Our results indicated that EGO efficiently identifies the global optimum in the parameter space, yielding a significant reduction in the difference between modeled and measured land subsidence. The match between simulated and SAR-measured horizontal displacements was developed as validation of the EGO calibration, which thus proved an effective and rather inexpensive method for the simultaneous management of several uncertainties and the reliable quantification of the rock properties.

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“…All the SAR images were processed through the SqueeSAR TM algorithm (FERRETTI et al 2011) to obtain PSI data. The SqueeSAR TM is a new multitemporal interferometric processing technique, being an advance on the PSInSAR TM algorithm (FERRETTI et al 2011), which permits measurement of ground displacements by means of traditional Permanent Scatterers (PS) like buildings, rock and debris, as well as from Distributed Scatterers (DS). DS are homogeneous areas spread over a group of pixels in a SAR image such as rangeland, pasture, shrubs and bare soil.…”

Section: Insar Processing and Datamentioning

confidence: 99%

“…PS and DS are jointly processed taking into account their different statistical behavior. The coherence matrix associated with each DS is properly ''squeezed'' to provide a vector of optimum (wrapped) phase values (FERRETTI et al 2011). The SqueeSAR TM technique allows an increase of density of the point targets that register ground motion, especially in non-urban areas, as sparse vegetation landscapes (MEISINA et al 2013;RASPINI et al 2013;BELLOTTI et al 2014).…”

Section: Insar Processing and Datamentioning

confidence: 99%

Multi-Temporal Evaluation of Landslide Movements and Impacts on Buildings in San Fratello (Italy) By Means of C-Band and X-Band PSI Data

Bianchini

Ciampalini

Raspini

et al. 2014

Pure Appl. Geophys.

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Abstract-This work provides a multi-temporal and spatial investigation of landslide effects in the San Fratello area (Messina province within the Sicily region, Italy), by means of C-band and X-band Persistent Scatterer Interferometry (PSI) data, integrated with in situ field checks and a crack pattern survey. The Sicily region is extensively affected by hydrogeological hazards since several landslides regularly involved local areas across time. In particular, intense and catastrophic landslide phenomena have recently occurred in the San Fratello area; the last event took place in February 2010, causing large economic damage. Thus, the need for an accurate ground motions and impacts mapping and monitoring turns out to be significantly effective, in order to better identify active unstable areas and to help proper risk-mitigation measures planning. The combined use of historical and recent C-band satellites and current X-band Synthetic Aperture Radar sensors of a new generation permits spatially and temporally detection of landslide-induced motions on a local scale and to properly provide a complete multi-temporal evaluation of their effects on the area of interest. PSI ground motion rates are crosscompared with local failures and damage of involved buildings, recently recognized by in situ observations. As a result, the analysis of landslide-induced movements over almost 20 years and the validation of radar data with manufactured crack patterns, permits one to finally achieve a complete and reliable assessment in the San Fratello test site.

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A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR

Cited by 1,454 publications

References 30 publications

A simple solution to mitigate noise effects in time-redundant sequences of small baseline multi-look DInSAR interferograms

A simple solution to mitigate noise effects in time-redundant sequences of small baseline multi-look DInSAR interferograms

Efficient global optimization of reservoir geomechanical parameters based on synthetic aperture radar-derived ground displacements

Multi-Temporal Evaluation of Landslide Movements and Impacts on Buildings in San Fratello (Italy) By Means of C-Band and X-Band PSI Data

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