Results 21 to 30 of about 12,493 (263)
Advances in InSAR Imaging and Data Processing
Remote Sensing, 2022 Through different phases of synthetic aperture radar (SAR) data acquired on different dates and/or at different satellite imaging locations, the interferometric SAR (InSAR) technique has long been used to map ground deformation or generate global digital
Lei Zhang, Zhong Lu
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InSAR Signal and Data Processing
Sensors, 2020 We present here the recent advances in exploring new techniques related to interferometric synthetic aperture radar (InSAR) signal and data processing and applications.
Mengdao Xing, Zhong Lu, Hanwen Yu
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SAR Interferometric Baseline Refinement Based on Flat-Earth Phase without a Ground Control Point
Remote Sensing, 2020 Interferometric baseline estimation is a key procedure of interferometric synthetic aperture radar (SAR) data processing. The error of the interferometric baseline affects not only the removal of the flat-earth phase, but also the transformation ...
Bing Xu +4 more
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Remote Sensing, 2022 In the last two decades, the rapid growth in continuous Global Navigation Satellite Systems (GNSS) networks and improvements in Interferometric Synthetic Aperture Radar (InSAR) imaging allowed the acquisition of continuous and spatially extensive ...
Mimmo Palano
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This work presents the results of some analyses carried out over medium-to-low coherent areas of the Southern Italy. Sequences of SAR data will be processed at different scales of resolution using the multi-temporal (Mt-InSAR) differential interferometry SBAS technique.
Antonio Pepe +8 more
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ANALYSIS OF MINING-INDUCED TERRAIN DEFORMATION USING MULTITEMPORAL DISTRIBUTED SCATTERER SAR INTERFEROMETRY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 This work addresses a methodology based on the Interferometric Synthetic Aperture Radar (InSAR) to analyse and monitor ground motion phenomena induced by underground mining activities, in the Legnica-Glogow Copper District, south-western Poland.
R. Palamà +8 more
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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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The Journal of Engineering, 2019 Ionospheric disturbance is one of the most serious factors that limit the accuracy of deformation measurement of interferometric synthetic aperture radar (InSAR) especially for spaceborne SAR systems in low frequency such as L-band. Especially in imaging
Jiaqi Ning +4 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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Assessment of the potential of MERIS near-infrared water vapour products to correct ASAR interferometric measurements [PDF]
, 2006 Atmospheric water vapour is a major limitation for high precision Interferometric Synthetic Aperture Radar (InSAR) applications due to its significant impact on microwave signals.
Albert, P. +5 more
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