A modification to the Goldstein radar interferogram filter

Baran, I.; Stewart, Mary E.; Kampes, Bert; Perski, Zbigniew; Lilly, P.A.

doi:10.1109/tgrs.2003.817212

Cited by 244 publications

(167 citation statements)

References 13 publications

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“…To retain the high resolution of the data, we used an adaptive filter whose performance magnitude depends on coherence (Baran et al, 2003). Then, from phase information over the coherence threshold (0.30), we carefully conducted a phase unwrapping procedure using a branch-cut algorithm (Goldstein et al, 1988).…”

Section: Insar Analysismentioning

confidence: 99%

Detection and mapping of soil liquefaction in the 2011 Tohoku earthquake using SAR interferometry

2012

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We have identified areas of soil liquefaction by the analysis of surface changes caused by the 2011 Tohoku earthquake, using synthetic aperture radar (SAR) interferometry in the Kanto region of Japan. Changes in surface scattering properties were evaluated using phase-corrected coherence, computed from the reflective intensity (amplitude) of SAR data. Often, the loss of coherence (decorrelation) is simply considered to represent areas damaged from the disaster. However, temporal decorrelation could also be induced by ordinal surface cover change in addition to disaster damage. Therefore, we use a coherence change threshold to discriminate significant decorrelation caused by soil liquefaction from that produced by ordinal surface cover changes. Moreover, local surface displacements are estimated using phase information from the SAR data. Our results compare favorably with those from surveys of sand boils and aerial photography, showing that surface changes derived from SAR data are associated with soil liquefaction. Our results demonstrate that soil liquefaction occurred mainly near the waterfront along Tokyo Bay and the Tone River, and ground subsidence was widely distributed.

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Section: Insar Analysismentioning

confidence: 99%

Detection and mapping of soil liquefaction in the 2011 Tohoku earthquake using SAR interferometry

2012

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“…This is not efficient for mountain areas with many decorrelated regions. Baran et al (2003) presented a modified Goldstein filter in which the filter parameter is selected based on coherence value [38].…”

Section: Modified Filteringmentioning

confidence: 99%

StaMPS Improvement for Deformation Analysis in Mountainous Regions: Implications for the Damavand Volcano and Mosha Fault in Alborz

2015

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Interferometric Synthetic Aperture Radar (InSAR) capability to detect slow deformation over terrain areas is limited by temporal decorrelation, geometric decorrelation and atmospheric artefacts. Multitemporal InSAR methods such as Persistent Scatterer (PS-InSAR) and Small Baseline Subset (SBAS) have been developed to deal with various aspects of decorrelation and atmospheric problems affecting InSAR observations. Nevertheless, the applicability of both PS-InSAR and SBAS in mountainous regions is still challenging. Correct phase unwrapping in both methods is hampered due to geometric decorrelation in particular when using C-band SAR data for deformation analysis. In this paper, we build upon the SBAS method implemented in StaMPS software and improved the technique, here called ISBAS, to assess tectonic and volcanic deformation in the center of the Alborz Mountains in Iran using both Envisat and ALOS SAR data. We modify several aspects within the chain of the processing including: filtering prior to phase unwrapping, topographic correction within three-dimensional phase unwrapping, reducing the atmospheric noise with the help of additional GPS data, and removing the ramp caused by ionosphere turbulence and/or orbit errors to better estimate crustal deformation in this tectonically active region. Topographic correction is done within the three-dimensional unwrapping in order to improve the phase unwrapping process, which is in contrast to OPEN ACCESS Remote Sens. 2015, 7 8324 previous methods in which DEM error is estimated before/after phase unwrapping. Our experiments show that our improved SBAS approach is able to better characterize the tectonic and volcanic deformation in the center of the Alborz region than the classical SBAS.In particular, Damavand volcano shows an average uplift rate of about 3 mm/year in the year 2003-2010. The Mosha fault illustrates left-lateral motion that could be explained with a fault that is locked up to 17-18 km depths and slips with 2-4 mm/year below that depth.

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“…InSAR filters like proposed in Goldstein et al 1998 andBaran et al 2003 investigate the frequency spectrum of an InSAR patch to reduce high frequency noise in the InSAR phases. Additionally, a weighting is applied depending on scene properties or local coherence values.…”

Section: Related Workmentioning

confidence: 99%

Smart Filtering of Interferometric Phases for Enhancing Building Reconstruction

Thiele

Dubois

Cadario

et al. 2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The current generation of space borne high resolution SAR sensors provides high spatial resolution as well as interferometric data within short time frames. This makes such data attractive for 3D information extraction. Especially, the operational configuration of TerraSAR-X and TanDEM-X opens up new perspectives for this kind of applications. Despite of this, the interferometric phases still suffer from considerable noise, so that filtering is mandatory to enhance building reconstruction. In our previous work, we used conventional Multilook-filtering to smooth the phase signature. For large buildings acceptable filter results are shown, but signatures of small buildings and significant layover areas are destroyed by the use of large square windows. Such filters are especially inappropriate if building orientations are not aligned with the sensor flight direction. Hence, in this paper, we present modified InSAR phase filters to support 3D building reconstruction. The implementation focuses on two different strategies: on the one hand taking GIS information into account, in order to parameterize the filters accordingly, and on the other hand purely relying on the image data. The filters are tested on simulated interferometric phases and on real single-pass airborne InSAR data. Finally, filter properties are compared with current standard InSAR filters.

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A modification to the Goldstein radar interferogram filter

Cited by 244 publications

References 13 publications

Detection and mapping of soil liquefaction in the 2011 Tohoku earthquake using SAR interferometry

Detection and mapping of soil liquefaction in the 2011 Tohoku earthquake using SAR interferometry

StaMPS Improvement for Deformation Analysis in Mountainous Regions: Implications for the Damavand Volcano and Mosha Fault in Alborz

Smart Filtering of Interferometric Phases for Enhancing Building Reconstruction

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