Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling [PDF]
, 2005 Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) provides spatially dense maps of surface deformation with potentially tens of millions of data points. Here we estimate the actual covariance structure of noise in InSAR data.
Lohman, Rowena B., Simons, Mark
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Interferometric Synthetic Aperture Radar
, 2022 Interferometric Synthetic Aperture Radar (InSAR) has catapulted our ability to detect, quantify and characterize bio- and geophysical processes (e.g., aquifer dynamics, tectonic, and magmatic processes, etc.). During the last four decades, InSAR has imaged the complete Earth’s surface and transformed our understanding of how Earth works.
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IEEE Access, 2023 Block adjustment technology can effectively correct the interferometric parameter errors acquired from Interferometric Synthetic Aperture Radar (InSAR) system.
Hao Zhang +4 more
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INFRASTRUCTURE MONITORING USING THE INTERFEROMETRIC SYNTHETIC APERTURE RADAR (INSAR) TECHNIQUE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 This paper focuses on the application of spaceborne radar interferometry as a tool for assisting the monitoring different types of infrastructures, including railways and highways.
Q. Gao +4 more
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Application of DInSAR-GPS optimization for derivation of fine-scale surface motion maps of Southern California [PDF]
, 2007 A method based on random field theory and Gibbs-Markov random fields equivalency within Bayesian statistical framework is used to derive 3-D surface motion maps from sparse global positioning system (GPS) measurements and differential interferometric ...
Li, Z. +3 more
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Deep Learning for InSAR Phase Filtering: An Optimized Framework for Phase Unwrapping
Remote Sensing, 2022 Interferometric Synthetic Aperture Radar (InSAR) data processing applications, such as deformation monitoring and topographic mapping, require an interferometric phase filtering step.
Gianluca Murdaca +2 more
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High quality InSAR data linked to seasonal change in hydraulic head for an agricultural area in the San Luis Valley, Colorado [PDF]
, 2011 In the San Luis Valley (SLV), Colorado legislation passed in 2004 requires that hydraulic head levels in the confined aquifer system stay within the range experienced in the years 1978–2000.
Agram, Piyush Shanker +5 more
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LOS Displacements of Mauna Loa volcano, Hawaii Island, as determined using SBAS-InSAR [PDF]
E3S Web of Conferences, 2018 This paper presents an overview of the surface displacements retrieval capability of the Differential Synthetic Aperture Radar Interferometry algorithm, using Small Baseline Subset (SBAS) technique, in the context of active volcanic areas.
Grzesiak Karolina, Milczarek Wojciech J.
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Multiview Three-Dimensional Interferometric Inverse Synthetic Aperture Radar
IEEE Transactions on Aerospace and Electronic Systems, 2019 Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging has been proven feasible by combining traditional ISAR imaging and interferometry. Such technique, namely Inteferometric ISAR (InISAR), allows for the main target scattering centers to be mapped into a 3-D spatial domain, therefore forming 3-D images under the form of 3-D point ...
Federica Salvetti +3 more
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Motion Compensation of Interferometric Synthetic Aperture Radar
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293), 2004 Synthetic aperture radar (SAR) is a digital signal processing technique which enhances the azimuth resolution of a radar image using the target Doppler history created by the motion of the radar platform. If the platform deviates from a constant velocity, straight-line path then image quality is lost and image details become unfocused.
D.G. Thompson, D.V. Arnold, D.G. Long
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