Radar interferogram filtering for geophysical applications

Goldstein, Robert S.; Werner, Charles

doi:10.1029/1998gl900033

Cited by 1,780 publications

(970 citation statements)

References 12 publications

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“…As a result, we retrieved a network of 664 differential SAR interferograms (see figure 1), which were computed by performing a complex multi-look operation with 4 looks in the range direction and 20 looks in the azimuth one (Bamler and Hartl 1998, Rosen et 2000, Lanari et al 2007), leading to a resulting pixel dimension of about 100 m × 100 m. For the interferogram generation (Gabriel et al 1989), the topographic phase contributions were removed by using precise satellite orbit information and a threearcsecond shuttle radar topography mission (SRTM) digital elevation model (DEM) of the region. The multi-look interferograms were also pre-filtered by applying the well-known approach described in Goldstein and Werner (1998), and subsequently processed by following the lines of the filtering approach described in the previous section.…”

Section: Resultsmentioning

confidence: 99%

“…In particular, the fringes depicted on the left side of figure 2 represent a selection of original interferograms after multi-look operation and additional noise-filtering based on Goldstein and Werner (1998) on the right side we portray the corresponding reconstructed fringes. By comparing the homologous interferograms of figure 2, it is evident the effectiveness of the proposed algorithm.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

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: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

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 interferograms were unwrapped using the SNAPHU algorithm (Chen and Zebker, 2000) to obtain line-of-sight (LOS) displacements with Goldstein filtering (Goldstein and Werner, 1998).…”

Section: Coseismic Interferogramsmentioning

confidence: 99%

Patterns and mechanisms of coseismic and postseismic slips of the 2011 M W 7.1 Van (Turkey) earthquake revealed by multi-platform synthetic aperture radar interferometry

Feng

Hoey

et al. 2014

Tectonophysics

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In this paper, we present several COSMO-SkyMED (CSK), Envisat ASAR and RADARSAT-2 interferograms spanning different time intervals, showing that significant postseismic signals can be observed in the first three days after the mainshock. Using observations that combine coseismic and postseismic signals is shown to significantly underestimate coseismic slip. We hence employed the CSK pair with the minimum postseismic signals to generate one conventional interferogram and one along-track interferogram for further coseismic modelling. Our best-fit coseismic slip model suggests that: (1) this event is associated with a buried NNW dipping fault with a preferable dip angle of 49º and a maximum slip of 6.5 m at a depth of 12 km; and (2) two unequal asperities can be observed, consistent with previous seismic solutions. Significant oblique aseismic slip with predominant left-lateral slip components above the coseismic rupture zone within the first 3 days after the mainshock is also revealed by a postseismic CSK interferogram, indicating that the greatest principal stress axis might have rotated due to a significant stress 1 drop during the coseismic rupture.

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“…To mitigate the effects of the decorrelation noise, we also independently carried out (on each single interferogram) a complex multilook operation [60] (with 30 looks in the azimuth and range directions for the CSK case, and with 20 looks in the azimuth, and 4 looks in the range direction for the ASAR/ENVISAT case, thus resulting, for both SAR datasets, in a radar pixel dimension of about 90 × 90 m). To each interferogram, a noise-filtering operation [61,62] was also applied. A selection of four interferograms, characterized by different values of the spatial and temporal baselines, is shown in Figure 3.…”

Section: Sbas-dinsar Analysismentioning

confidence: 99%

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

et al. 2016

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Abstract:In this work, we investigate the temporal evolution of ground deformation affecting the ocean-reclaimed lands of the Shanghai (China) megacity, from 2007 to 2016, by applying the Differential Synthetic Aperture Radar Interferometry (DInSAR) technique known as the Small BAseline Subset (SBAS) algorithm. For the analysis, we exploited two sets of non-time-overlapped synthetic aperture radar (SAR) data, acquired from 2007 to 2010, by the ASAR/ENVISAT (C-band) instrument, and from 2014 to 2016 by the X-band COSMO-SkyMed (CSK) sensors. The long time gap (of about three years) existing between the available C-and X-band datasets made the generation of unique displacement time-series more difficult. Nonetheless, this problem was successfully solved by benefiting from knowledge of time-dependent geotechnical models, which describe the temporal evolution of the expected deformation affecting Shanghai's ocean-reclaimed platforms. The combined ENVISAT/CSK (vertical) deformation time-series were analyzed to gain insight into the future evolution of displacement signals within the investigated area. As an outcome, we find that ocean-reclaimed lands in Shanghai experienced, between 2007 and 2016, average cumulative (vertical) displacements extending down to 25 centimeters.

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Radar interferogram filtering for geophysical applications

Cited by 1,780 publications

References 12 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

Patterns and mechanisms of coseismic and postseismic slips of the 2011 M W 7.1 Van (Turkey) earthquake revealed by multi-platform synthetic aperture radar interferometry

The Use of C-/X-Band Time-Gapped SAR Data and Geotechnical Models for the Study of Shanghai’s Ocean-Reclaimed Lands through the SBAS-DInSAR Technique

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