Publications about 'polarimetric SAR interferometry'

Articles in journal or book chapters

1. R. Iglesias, A. Aguasca, X. Fabregas, J. J. Mallorqui, D. Monells, C. Lopez-Martinez, and L. Pipia. Ground-Based Polarimetric SAR Interferometry for the Monitoring of Terrain Displacement Phenomena - Part I: Theoretical Description. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(3):980-993, March 2015. Keyword(s): geomorphology, radar interferometry, remote sensing by radar, synthetic aperture radar, terrain mapping, GB-InSAR techniques, GB-SAR sensors, PSI processing chains, PSI techniques, PolInSAR algorithms, PolSAR measurements, SLFMCW GB-SAR system, SLFMCW signals, Universitat Politecnica de Catalunya, acquisition time, classical single-polarimetric performances, coherent pixels technique, ground displacement episodes, ground displacement phenomena, ground-based SAR interferometry, ground-based polarimetric SAR interferometry, ground-based synthetic aperture radar, persistent scatterer interferomerty, polarimetric RiskSAR sensor, polarimetric SAR measurements, stepped linear frequency modulated continuous wave, terrain displacement phenomena monitoring, troposphere medium decorrelation, troposphere temporal homogeneity, vector network analyzers, Atmospheric measurements, Interferometry, Monitoring, Sensor phenomena and characterization, Synthetic aperture radar, Differential synthetic aperture radar (SAR) interferometry (DInSAR), GB-SAR interferometry (GB-InSAR), frequency modulated continuous wave (FMCW) radar, ground-based SAR (GB-SAR), persistent scatterer interferomerty (PSI), polarimetric SAR interferometry (PolInSAR), stepped linear FMCW (SLFMCW) radar. [Abstract] [bibtex-entry]



2. R. Iglesias, A. Aguasca, X. Fabregas, J. J. Mallorqui, D. Monells, C. López-Martìnez, and L. Pipia. Ground-Based Polarimetric SAR Interferometry for the Monitoring of Terrain Displacement Phenomena --Part II: Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(3):994-1007, March 2015. Keyword(s): geomorphology, geophysical techniques, radar interferometry, remote sensing by radar, synthetic aperture radar, Andorran Pyrenees, El Forn de Canillo, GB-InSAR techniques, GB-SAR sensors, Remote Sensing Laboratory, RiskSAR sensor, Spain, Universitat Politecnica de Catalunya, X-band, cost-effective solution, ground displacement phenomena, ground-based polarimetric SAR interferometry, ground-based synthetic aperture radar interferometry, in-field data, infrastructure safety, landslide monitoring, people safety, terrain displacement phenomena monitoring, urban landslides, urban subsidence, urban subsidence monitoring, zero-baseline configuration, Coherence, Interferometry, Monitoring, Sensitivity, Synthetic aperture radar, Terrain factors, Vectors, Differential synthetic aperture radar (SAR) interferometry (DInSAR), displacement monitoring, frequency modulated continuous wave (FMCW) radar, ground-based SAR (GB-SAR), ground-based SAR interferometry (GBInSAR), persistent scatterer interferometry (PSI), polarimetric SAR interferometry (PolInSAR), steepest linear frequency modulated continuous wave (SLFMCW) radar. [bibtex-entry]



3. Seung-Kuk Lee, Florian Kugler, Konstantinos P. Papathanassiou, and Irena Hajnsek. Quantification of Temporal Decorrelation Effects at L-Band for Polarimetric SAR Interferometry Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3):1351-1367, June 2013. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, airborne radar, data acquisition, decorrelation, estimation theory, radar polarimetry, spaceborne radar, synthetic aperture radar, BioSAR 2007, L-band E-SAR repeat-pass data acquisition, Pol-InSAR forest parameter inversion, TempoSAR 2008, TempoSAR 2009, ground temporal decorrelation effect, height inversion error, interferometric repeat-pass mode, multibaseline Pol-InSAR data acquisition, polarimetric SAR interferometry application, quantitative estimation, rain-induced dielectric change, satellite airborne SAR system, temporal baseline estimation, time 10 min to 54 day, velocity 2 m/s, volume temporal decorrelation effect, Height inversion, polarimetric synthetic aperture radar interferometry (Pol-InSAR), temporal baseline, temporal decorrelation. [Abstract] [bibtex-entry]



4. Alberto Moreira, Pau Prats-Iraola, Marwan Younis, Gerhard Krieger, Irena Hajnsek, and Konstantinos P. Papathanassiou. A tutorial on synthetic aperture radar. IEEE Geoscience and Remote Sensing Magazine, 1(1):6-43, March 2013. Keyword(s): SAR Processing, Tutorial, SAR Focusing, Azimuth Focusing, SAR Interferometry, SAR Polarimetry, polarimetric interferometry, PolInSAR, InSAR, SAR Tomography, geophysical techniques, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, Earth remote sensing, bistatic configurations, differential interferometry, digital beamforming, holographic tomography, multiple-input multiple-output, multistatic configurations, polarimetric SAR interferometry, polarimetry, synthetic aperture radar, Radar imaging, Remote sensing, Scattering, Spaceborne radar, Synthetic aperture radar, Tutorial, Teaching Material, Teaching. [Abstract] [bibtex-entry]



5. 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]



6. Maxim Neumann, Laurent Ferro-Famil, and Andreas Reigber. Multibaseline Polarimetric SAR Interferometry Coherence Optimization. IEEE Geosci. Remote Sens. Lett., 5(1):93-97, January 2008. Keyword(s): coherence, optimisation, radar interferometry, radar polarimetry, synthetic aperture radar, coherence optimization, multibaseline polarimetric SAR interferometry, scattering mechanism, synthetic aperture radar sensor, Interferometry, L-band, Optimization methods, Phase estimation, Polarimetric synthetic aperture radar, Polarization, Radar scattering, Samarium, Signal resolution, Uncertainty, Coherence optimization, multibaseline (MB), polarimetric synthetic aperture radar interferometry (PolInSAR). [Abstract] [bibtex-entry]



7. Rafael Zandoná-Schneider, K.P. Papathanassiou, Irena Hajnsek, and Alberto Moreira. Polarimetric and interferometric characterization of coherent scatterers in urban areas. IEEE Trans. Geosci. Remote Sens., 44(4):971-984, 2006. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, Selection of point target candidates, backscatter, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, L-band radar, SAR interferometry, SAR polarimetry, airborne SAR data, orientation angle, point-like coherent scatterers, quadpolarized images, synthetic aperture radar, urban areas, Azimuth, Data mining, Interferometry, Object detection, Polarimetry, Radar detection, Radar scattering, Synthetic aperture radar, Urban areas, Coherent scatterers, SAR interferometry, SAR polarimetry, orientation angle, polarimetric SAR interferometry, synthetic aperture radar (SAR), urban areas. [Abstract] [bibtex-entry]



8. V. Alberga and M. Chandra. Volume decorrelation resolution in polarimetric SAR interferometry. Electronics Letters, 39(3):314-315, February 2003. Keyword(s): buildings, distributed scatterer height, forests, interferometric coherence images, man-made artifacts, polarimetric SAR data, polarimetric SAR interferometry, random volumes, stationary distributed targets, synthetic aperture radar, volume decorrelation resolution, decorrelation, radar imaging, radar polarimetry, radiowave interferometry, synthetic aperture radar, target tracking;. [Abstract] [bibtex-entry]



9. Jong-Sen Lee, Shane R. Cloude, Konstantinos P. Papathanassiou, M. R. Grunes, and I. H. Woodhouse. Speckle filtering and coherence estimation of polarimetric SAR interferometry data for forest applications. IEEE Trans. Geosci. Remote Sens., 41(10):2254-2263, October 2003. Keyword(s): SAR Processing, Forest, Forest parameters, biomass, averaging, boxcar filter, coherence estimation, forest applications, forest heights, ground topography, interferometric coherence, neighboring pixels, polarimetric SAR interferometry data, polarimetric interferometry matrix, polarimetric synthetic aperture radar interferometry, random volume, scattering characteristics, speckle filtering, adaptive filters, forestry, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, speckle, synthetic aperture radar. [Abstract] [bibtex-entry]



10. S.R. Cloude and Konstantinos P. Papathanassiou. Polarimetric SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 36(5):1551-1565, September 1998. Keyword(s): SAR Processing, PolInSAR, geophysical techniques, radar imaging, radar polarimetry, radar theory, remote sensing by radar, synthetic aperture radarInSAR, coherence optimization problem, elevated forest canopy, general formulation, geophysical measurement technique, interferogram, interferometric SAR, interferometric coherence, land surface, linear combinations, maximization, polarimetric SAR interferometry, polarimetric basis transformation, radar remote sensing, scalar interferometry, stochastic scattering model, strong polarization dependency, synthetic aperture radar, terrain mapping, vector wave interferometry, SAR Tomography. [Abstract] [bibtex-entry]

Conference articles

1. A. Moreira, O. Ponce, M. Nannini, M. Pardini, P. Prats, A. Reigber, K. Papathanassiou, and G. Krieger. Multi-baseline spaceborne SAR imaging. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), pages 1420-1423, July 2016. Keyword(s): geophysical image processing, holography, radar imaging, radar interferometry, radar polarimetry, remote sensing by radar, spaceborne radar, synthetic aperture radar, HoloSAR, PolInSAR, TomoSAR, across-track interferometry, along- track interferometry, glacier movement, ground deformation, holography SAR, multi-baseline imaging capability, multi-dimensional data space, multibaseline spaceborne SAR imaging, multistatic SAR configuration, ocean current, polarimetric SAR interferometry, spaceborne SAR development, spaceborne SAR image product, sparse array, surface topography measurement, tomography SAR, Interferometry, Radar imaging, Radar polarimetry, Spaceborne radar, Synthetic aperture radar, Tomography, Multi-Baseline Imaging, Polarimetric SAR Interferometry, Polarimetry, SAR Holography, SAR Tomography, Synthetic Aperture Radar (SAR). [bibtex-entry]



2. A. Moreira, O. Ponce, M. Nannini, M. Pardini, and P. Prats. Multi-baseline imaging: A vision for spaceborne SAR. In Proc. 16th Int. Radar Symp. (IRS), pages 20-29, June 2015. Keyword(s): radar interferometry, remote sensing by radar, spaceborne radar, synthetic aperture radar, topography (Earth), across-track interferometry, along-track interferometry, glacier movement, ground deformation measurement, holography SAR, image product, multibaseline imaging, multidimensional data space, multistatic SAR configuration, ocean current measurement, polarimetric SAR interferometry, spaceborne SAR system development, sparse array, surface topography measurement, tomography SAR, Imaging, Interferometry, Radar imaging, Radar polarimetry, Spaceborne radar, Synthetic aperture radar. [bibtex-entry]



3. Andreas Reigber, Maxim Neumann, Stephane Guillaso, Stefan Sauer, and Laurent Ferro-Famil. Evaluating PolInSAR parameter estimation using tomographic imaging results. In Proc. European Radar Conf., pages 189-192, 2005. Keyword(s): SAR Processing, SAR Tomography, Tomography, forestry, matrix algebra, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, tomography, vegetation mapping, PolInSAR parameter estimation, canopy, forest height, ground topography estimation, polarimetric SAR interferometry, tomographic imaging results. [Abstract] [bibtex-entry]



4. Shane R. Cloude and Konstantinos P. Papathanassiou. Three-stage inversion process for polarimetric SAR interferometry. In , volume 150, pages 125-134, June 2003. Keyword(s): SAR Processing, decorrelation, electromagnetic wave scattering, inverse problems, parameter estimation, radar imaging, radar polarimetry, remote sensing by radar, synthetic aperture radar geometrical approach, ground topography, interferograms, inversion accuracy, mean extinction estimation, model structure, multiple polarisation channels, parameter estimates, polarimetric SAR interferometry, random canopy, simulated vector coherent SAR data, single frequency sensor, temporal decorrelation, three-stage inversion process, two-layer coherent scattering model, vegetation height, vertical tree structure. [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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