Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry

By Alessandro Ferretti, Claudio Maria Prati, Fabio Rocca. IEEE Transactions on Geoscience and Remote Sensing, 2000

2,550 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/57bdc5980bd9bb7547c2d089d24af3d2fe3353ba

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Citations in the corpus

A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR (2011, background): “Indeed, γPTA can be seen as an extension, for DS, to the temporal coherence [1], [2], [38] widely used in PS analyzes.”
On the Extension of the Minimum Cost Flow Algorithm for Phase Unwrapping of Multitemporal Differential SAR Interferograms (2006, methodology): “To achieve this task, the information available from each interferometric data pair must be properly related to those included in the other acquisitions via the generation, and a subsequent combination [6]–[12], of an appropriate sequence of DInSAR interferograms.”
On the Exploitation of Target Statistics for SAR Interferometry Applications (2008, methodology): “We will then assume the same approach as in conventional PS processing that is quite simple and well tested [2], [3].”
A tutorial on synthetic aperture radar (2013, background): “By exploiting the frequency response of the APS both in time (high-pass) and space (low-pass), it can be estimated and removed from the image stack [17], [69].”
Persistent Scatterer Interferometry: A review (2016, methodology): “idt and Bürgmann (2003); ERS-Ferretti et al. (2004); ERS-Zerbini et al.”
Multidimensional Waveform Encoding: A New Digital Beamforming Technique for Synthetic Aperture Radar Remote Sensing (2008, background): “Another prominent example is differential interferometry, which compares the phase of complex SAR images acquired during different satellite passes to detect subtle deformations on the Earth's surface for many geoscience and environmental applications [7], [8].”
Repeat-Pass SAR Interferometry With Partially Coherent Targets (2012, background): “In this framework, the graph connectivity assures the temporal continuity of the deformation measurements and, thus, the possibility of unwrapping the phase time series (and detecting nonlinear motions [23]).”
Interferometric point target analysis for deformation mapping (2003, background): “[6,7] proposed examining interferometric phases from stable, point-like reflectors and demonstrated that large numbers of such reflectors could be identified in stacks of ERS data, particularly in build-up areas.”
The Development of A Scientific Permanent Scatterer System (2003, methodology): “INTRODUCTION The permanent scatterer (PS) technique, invented at the POLIMI insititute (Ferretti et al., 2000a), is able to detect and monitor displacements in urban areas with millimetre accuracy per year.”
Gravity and magma induced spreading of Mount Etna volcano revealed by satellite radar interferometry (2004, background): “This step is based on the observation that the atmospheric signal phase component is highly correlated in space but poorly in time [ Ferretti et al., 2000; Hanssen, 2001].”
Three-dimensional multipass SAR focusing: experiments with long-term spaceborne data (2005, methodology): “Whereas decorrelation introduces mostly high spatial frequency contributions, such phase distortions occur mainly at low spatial (azimuth and range) frequency: accordingly, they cannot be eliminated by simple local averages.”