Publications about 'Coherence loss'

Articles in journal or book chapters

1. Yasser Maghsoudi, Andrew J. Hooper, Tim J. Wright, Milan Lazecky, and Homa Ansari. Characterizing and correcting phase biases in short-term, multilooked interferograms. Remote Sensing of Environment, 275:113022, 2022. Keyword(s): InSAR, Phase bias, Fading signal, Correction, Closure Phase, SAR Interferometry, Radar interferometry, Time Series, Interferometric Stack, ground motion, deformation, subsidence, displacement, monitoring. [Abstract] [bibtex-entry]



2. Francescopaolo Sica, Andrea Pulella, Matteo Nannini, Muriel Pinheiro, and Paola Rizzoli. Repeat-pass SAR interferometry for land cover classification: A methodology using Sentinel-1 Short-Time-Series. Remote Sensing of Environment, 232:111277, 2019. Keyword(s): Land cover classification, SAR, Interferometric coherence, Sentinel-1, Temporal decorrelation. [Abstract] [bibtex-entry]



3. Gianfranco Fornaro, Simona Verde, Diego Reale, and Antonio Pauciullo. CAESAR: An Approach Based on Covariance Matrix Decomposition to Improve Multibaseline - Multitemporal Interferometric SAR Processing. IEEE Trans. Geosci. Remote Sens., 53(4):2050-2065, April 2015. Keyword(s): SAR Processing, SAR Tomography, Component Extraction And selection SAR, CEASAR, Spaceborne SAR, multilook SAR tomography, X-Band, Urban, Persistent Scatterer Interferometry, PSI, covariance matrices, geophysical signal processing, matrix decomposition, principal component analysis, radar interferometry, radar signal processing, remote sensing by radar, synthetic aperture radar, tomography, CAESAR, Component Extraction and Selection SAR algorithm, SAR tomography, SqueeSAR, classical interferometric processing, coherence losses, covariance matrix analysis, covariance matrix decomposition, data covariance matrix, equivalent scattering mechanisms, ground deformation monitoring, high resolution Cosmo-SkyMed data, high resolution interferometric SAR sensors, interferometic stac filtering, multibaseline-multitemporal interferometric SAR processing, multilook operation, multiple scatterers, principal component analysis, synthetic aperture radar, Covariance matrices, Interferometry, Monitoring, Scattering, Spatial resolution, Synthetic aperture radar, Tomography, 3-D, 4-D and multidimensional (Multi-D) SAR imaging, Covariance matrix decomposition, SAR interferometry (InSAR), SAR tomography. [Abstract] [bibtex-entry]



4. Silvan Leinss, Andreas Wiesmann, J. Lemmetyinen, and I. Hajnsek. Snow Water Equivalent of Dry Snow Measured by Differential Interferometry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(8):3773-3790, August 2015. Keyword(s): radar interferometry, remote sensing by radar, snow, Finland, SnowScat instrument, Sodankyla town, Xand Ku-band, active microwave remote sensing method, differential interferogram time series, differential radar interferometry, dry snow measurement, frequency 10 GHz, frequency 16 GHz, frequency 20 GHz, passive microwave remote sensing method, phase wrapping error, reference instrument, signal delay, snow density, snow pack spatial inhomogeneity, snow volume, snow water equivalent mapping, stratigraphy, temporal decorrelation, time 30 day, Backscatter, Ice, Instruments, Interferometry, Snow, Synthetic aperture radar, Coherence loss, SnowScat, dielectric constant of snow, differential interferometry (D-InSAR), dry snow, microwave penetration of snow, real aperture radar, snow water equivalent (SWE), synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



5. Gianfranco Fornaro and Antonio Pauciullo. LMMSE 3-D SAR Focusing. IEEE Trans. Geosci. Remote Sens., 47(1):214-223, January 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, data acquisition, remote sensing by radar, singular value decomposition, synthetic aperture radar, LMMSE, synthetic aperture radar imaging systems, antenna SAR sensor, atmospheric phase miscalibration, atmospheric residual miscalibration, beamforming, data correlation properties, data integration, linear minimum mean square error method, multistatic data acquisition, satellite technology, singular values decomposition inversion, stochastic process. [Abstract] [bibtex-entry]



6. Stefano Tebaldini. Algebraic Synthesis of Forest Scenarios From Multibaseline PolInSAR Data. IEEE Trans. Geosci. Remote Sens., 47(12):4132-4142, December 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, E-SAR, P-Band, algebra, geophysical techniques, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetationBioSAR, E-SAR airborne system, Kronecker products sum, P-band data set, Remningstorp, SAR surveys, Sweden, algebraic synthesis, forest scenarios, forested areas, least square solution, multibaseline PolInSAR data, multipolarimetric multibaseline synthetic aperture radar, single-baseline polarimetric SAR interferometry, statistical uncorrelation, temporal coherence losses, volumetric coherence losses. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.

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