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Publications about 'temporal decorrelation'

Thesis

  1. Albert Monteith. Temporal Characteristics of Boreal Forest Radar Measurements. PhD thesis, Chalmers University of Technology, 2020. Keyword(s): SAR Tomography, BorealScat. [Abstract] [bibtex-entry]


Articles in journal or book chapters

  1. Victor Cazcarra-Bes, Matteo Pardini, Marivi Tello-Alonso, and K. P. Papathanassiou. Comparison of Tomographic SAR Reflectivity Reconstruction Algorithms for Forest Applications at L-band. IEEE Trans. Geosci. Remote Sens., 58(1):147-164, January 2020. Keyword(s): SAR Processing, SAR Tomography, Forestry, Synthetic aperture radar, Image reconstruction, Decorrelation, Estimation, Reconstruction algorithms, Capon beamforming (CB), compressive sensing (CS), forest applications, forest structure, Fourier beamforming (FB), L-band, synthetic aperture radar (SAR), tomography, airborne SAR. [Abstract] [bibtex-entry]


  2. Nan Ge and Xiao Xiang Zhu. Bistatic-Like Differential SAR Tomography. IEEE Trans. Geosci. Remote Sens., pp 1-11, 2019. Keyword(s): Synthetic aperture radar, Strain, Satellites, Satellite broadcasting, Spaceborne radar, Decorrelation, Tomography, Synthetic aperture radar (SAR), SAR tomography, Tandem-L, TerraSAR-X add-on for digital elevation measurements (TanDEM-X).. [Abstract] [bibtex-entry]


  3. Albert R. Monteith and Lars M. H. Ulander. Temporal Survey of P- and L-Band Polarimetric Backscatter in Boreal Forests. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10):3564-3577, October 2018. Keyword(s): SAR Tomography, backscatter, radar imaging, radar polarimetry, remote sensing by radar, spaceborne radar, synthetic aperture radar, vegetation mapping, temporal survey, L-band polarimetric backscatter, boreal forests, environmental conditions, seasonal variations, backscattered radar signal, biomass retrieval scheme, synthetic aperture radar data, electromagnetic scattering mechanisms, biomass estimation algorithms, L-band SAR missions, temporal changes, HV-polarized P, L-band radar backscatter, boreal forest site, environmental parameters, mature Norway spruce, above-ground biomass, approximately 250 tons/ha, BorealScat tower-based scatterometer, L-band backscatter, HH/VV backscatter ratio, average backscatter, double-bounce scattering, severe temporal decorrelation, P-band temporal coherence, mass 250.0 ton, time 5.0 min, noise figure 4.0 dB to 10.0 dB, Synthetic aperture radar, L-band, Backscatter, Biomass, Antenna arrays, Coherence, Backscatter, boreal forest, L-band, P-band, synthetic aperture radar (SAR), temporal coherence, time series. [Abstract] [bibtex-entry]


  4. Lars M. H. Ulander, Albert R. Monteith, Macej J. Soja, and Leif E. B. Eriksson. Multiport Vector Network Analyzer Radar for Tomographic Forest Scattering Measurements. IEEE Geoscience and Remote Sensing Letters, 15(12):1897-1901, December 2018. Keyword(s): SAR Tomography, BorealScat, antenna arrays, multiport networks, network analysers, radar antennas, radar imaging, S-parameters, tomographic forest scattering measurements, C-band radar, BorealScat, radar tomography, vertical antenna array, vertical scattering distribution, temporal decorrelation, reflected signals, 20-port vector network analyzer, stepped-frequency waveform, 20-element arrays, radar measurements, hemiboreal forest, tomographic imaging capabilities, multiport VNA tomography results, 2-port VNA measurement scheme, multiport vector network analyzer radar, P-band radar, L-band radar, polarimetric time-series measurements, Antenna measurements, Antenna arrays, Forestry, Tomography, Radar, Radar antennas, Switches, BorealScat, forest, polarimetry, radar, scattering, time series, tomography, vector network analyzer (VNA). [Abstract] [bibtex-entry]


  5. A. Recchia, Andrea Monti Guarnieri, Antonio Broquetas, and Antonio Leanza. Impact of Scene Decorrelation on Geosynchronous SAR Data Focusing. IEEE Transactions on Geoscience and Remote Sensing, 54(3):1635-1646, March 2016. Keyword(s): SAR Processing, SAR focusing, autofocus, atmospheric phase, atmospheric phase screen, APS, decorrelation, temporal decorrelation, geostationary, geosynchronous, radar clutter, radar resolution, synthetic aperture radar, Billingsley intrinsic clutter motion model, GEOSAR signal-to-clutter ratio, azimuth resolution, clutter energy, geosynchronous SAR data focusing, ground based radar experiment, power spectral density, scene decorrelation, two-way propagation losses, Azimuth, Clutter, Decorrelation, Focusing, Synthetic aperture radar, Thyristors, Focusing, Geosynchronous Synthetic Aperture Radar (GEOSAR), scene decorrelation, wind-blown clutter. [Abstract] [bibtex-entry]


  6. Rafael Caduff, Fritz Schlunegger, Andrew Kos, and Andreas Wiesmann. A review of terrestrial radar interferometry for measuring surface change in the geosciences. Earth Surface Processes and Landforms, 40(2):208-228, 2015. Keyword(s): SAR Processing, Gamma Portable Radar Interferometer, GPRI, Review, GBSAR, InSAR, Ground-based radar, Ground-based SAR, deformation measurement, displacement, subsidence, terrestrial radar interferometry, mass movements, surface deformation. [Abstract] [bibtex-entry]


  7. Marco Lavalle and Scott Hensley. Extraction of Structural and Dynamic Properties of Forests From Polarimetric-Interferometric SAR Data Affected by Temporal Decorrelation. IEEE Trans. Geosci. Remote Sens., 53(9):4752-4767, September 2015. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Gaussian processes, optical radar, radar imaging, radar interferometry, radar polarimetry, synthetic aperture radar, vegetation mapping, Gaussian-statistic motion model, Harvard Forest, L-band NASA Uninhabited Aerial Vehicle Synthetic Aperture Radar, Laser Vegetation and Ice Sensor, Massachussetts, NASA lidar, RMoG model, RVoG model, USA, canopy elements, canopy motion, forest biomass estimation, forest dynamic property, forest property estimation, forest structural property, forest vertical structure, least square distance minimization, lidar-derived height, multiplicative factors, polarimetric channels, polarimetric-interferometric SAR data, polarimetric-interferometric coherence, polarimetric-interferometric radar image, random-motion-over-ground model, random-volume-over-ground model, temporal coherence, temporal decorrelation effect, tree height, volumetric coherence, volumetric decorrelation effect, wave polarization, Biomass, Coherence, Data models, Decorrelation, Radar, Vegetation, Decorrelation, interferometry, polarimetry. [Abstract] [bibtex-entry]


  8. 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]


  9. Yu Morishita and Ramon F. Hanssen. Temporal Decorrelation in L-, C-, and X-band Satellite Radar Interferometry for Pasture on Drained Peat Soils. IEEE Trans. Geosci. Remote Sens., 53(2):1096-1104, February 2015. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, geophysical signal processing, land use, radar interferometry, remote sensing by radar, soil, synthetic aperture radar, terrain mapping, vegetation, vegetation mapping, ALOS-2 satellite, Advanced Land Observation Satellite mission, C-band SAR observations, C-band satellite radar interferometry, Envisat mission, European Remote Sensing Satellite mission, L-band SAR observations, L-band satellite radar interferometry, RADARSAT-2 mission, Sentinel-1 satellite, TerraSAR-X mission, X-band SAR observations, X-band satellite radar interferometry, a priori assessment, actual land use, climatological circumstances, coherence estimation window sizes, coherence levels, coherent information, coherent signal, drained peat soils, frequency function, generic models, interferograms, interferometric applications, nonurban areas, optimal data sets, pasture, repeat intervals, repeat orbits, satellite missions, soil types, synthetic aperture radar interferometry, temporal decorrelation model, temporal dynamics, vegetation types, Coherence, Decorrelation. [Abstract] [bibtex-entry]


  10. 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]


  11. Kanika Goel and Nico Adam. An advanced algorithm for deformation estimation in non-urban areas. ISPRS Journal of Photogrammetry and Remote Sensing, 73(0):100 - 110, 2012. Keyword(s): SAR Processing, Interferometry, SAR Interferometry, InSAR, DInSAR, Adaptive spatial phase filtering, Distributed scatterer (DS), L1-norm minimization, Singular Value Decompostion, SVD, L2-norm minimization, Small Baseline Subset Algorithm, SBAS, TerraSAR-X, Spaceborne SAR, X-band. [Abstract] [bibtex-entry]


  12. Marc Simard, Scott Hensley, Marco Lavalle, Ralph Dubayah, Naiara Pinto, and Michelle Hofton. An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes. Remote Sensing, 4(4):975-986, 2012. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Differential Interferometry, DInSAR, SAR Interferometry, Coherence, Airborne SAR, UAVSAR, L-Band. [Abstract] [bibtex-entry]


  13. K. Goel and N. Adam. Three-Dimensional Positioning of Point Scatterers Based on Radargrammetry. IEEE Trans. Geosci. Remote Sens., PP(99):1-9, 2011. Keyword(s): SAR Processing, SAR Tomography, Tomography. [Abstract] [bibtex-entry]


  14. Piyush Shanker Agram, F. Casu, Howard A. Zebker, and R. Lanari. Comparison of Persistent Scatterers and Small Baseline Time-Series InSAR Results: A Case Study of the San Francisco Bay Area. IEEE Geosci. Remote Sens. Lett., 8(4):592-596, July 2011. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, Small Baseline Subset Algorithm, SBAS, Interferometry, InSAR, SAR Interferometry, Deformation, Deformation Monitoring. [Abstract] [bibtex-entry]


  15. Stefano Tebaldini and Andrea Monti Guarnieri. Methods and Performances for Multi-Pass SAR Interferometry, chapter 18, pages 329-356. InTech, 2010. Keyword(s): SAR Processing, Modelling Interferogram Stacks, PSI, Persistent Scatterer Interferometry, Differential SAR Interferometry, D-InSAR, InSAR, SAR Interferometry, Interferometry, Decorrelation, Temporal Decorrelation, C-band measurement, DInSAR, ERS-1 data, Italy, Rome, agricultural areas, differential interferometric SAR, distributed targets, geometrical decorrelation, interferogram stack modeling, permanent scatterers, progressive ground motion, progressively decorrelating targets, sinusoidal ground motion, synthetic aperture radar interferometry, temporal decorrelation, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  16. Maxim Neumann, Laurent Ferro-Famil, and Andreas Reigber. Estimation of Forest Structure, Ground, and Canopy Layer Characteristics From Multibaseline Polarimetric Interferometric SAR Data. IEEE Trans. Geosci. Remote Sens., 48(3):1086-1104, March 2010. Keyword(s): SAR Processing, Multibaseline SAR, Germany, PolInSAR, RVoG, vertical structure, Traunstein test site, airborne SAR, L-band, angular distribution, canopy layer heights, differential extinction, double-bounce ground-trunk interactions, forest layer heights, forest parameter retrieval, forest structure estimation, forest vegetation, ground topography, ground-to-volume ratio, ground-truth measurements, interferometric coherence, particle scattering anisotropy, polarimetric Synthetic Aperture Radar interferometry, polarimetric decomposition, polarimetric scattering media model, polarization orientation randomness, random-volume-over-ground PolInSAR parameter inversion, repeat-pass configuration, root-mean-square error, surface scattering, temporal decorrelation, tree morphology, volume coherency matrices, volumetric canopy, volumetric understory scattering, wave attenuation, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  17. Teng Wang, Mingsheng Liao, and Daniele Perissin. InSAR Coherence-Decomposition Analysis. IEEE Geosci. Remote Sens. Lett., 7(1):156-160, January 2010. Keyword(s): SAR Processing, geophysical signal processing, radar interferometry, radar signal processing, radar theory, remote sensing by radar, spaceborne radar, synthetic aperture radar, terrain mapping, topography (Earth), Badong, China, European Remote Sensing satellite tandem data, InSAR coherence decomposition analysis, acquisition geometry, classification algorithms, distributed target, geometrical coherence, geometrical decorrelation, mountain areas, phase coherence, pointlike target identification, sensor acquisition parameters, synthetic aperture radar interferometry, temporal coherence estimation, temporal decorrelation, terrain temporal changes, topographic model, Coherence estimation, synthetic aperture radar interferometry (InSAR);. [Abstract] [bibtex-entry]


  18. Meng Wei and David T. Sandwell. Decorrelation of L-Band and C-Band Interferometry Over Vegetated Areas in California. IEEE Trans. Geosci. Remote Sens., 48(7):2942-2952, July 2010. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Earth crust, faulting, geomorphology, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping, C-band European Remote Sensing Satellite interferograms, Coast Range area, ERS interferogram, Imperial Valley, L-band Advanced Land Observation Satellite interferograms, Northern California forests, Parkfleld, San Andreas Fault system, Southern California, crustal deformation, decorrelation behavior, decorrelation time, fault creep, interferometric synthetic aperture radar, interseismic deformation, local uplifting signal, near-fault interseismic deformation, sandy surfaces, seasonal acquisitions, signal-to-noise ratio, spatial baseline, spatial baseline lost correlation, temporal baseline, temporal baseline lost correlation, vegetated areas, Correlation, crustal deformation, interferometry, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  19. 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]


  20. Guoxiang Liu, Sean M. Buckley, Xiaoli Ding, Qiang Chen, and Xiaojun Luo. Estimating Spatiotemporal Ground Deformation With Improved Persistent-Scatterer Radar Interferometry. IEEE Trans. Geosci. Remote Sens., 47(9):3209-3219, September 2009. Keyword(s): AD 1992 to 2000, Arizona, C-band SAR images, EMD approach, European Remote Sensing 1-2 satellites, PS-InSAR technique, PS-neighborhood networking approach, Phoenix, USA, atmospheric artifacts, atmospheric signals, empirical mode decomposition approach, least squares method, linear deformation rates, nonlinear deformation, persistent-scatterer interferometric synthetic aperture radar technique, singular value decomposition, spatial-temporal decorrelation, subsidence, synthetic aperture radar images, temporally coherent radar targets, time series, topographic errors, geophysical techniques, radar interferometry, remote sensing by radar, synthetic aperture radar, topography (Earth);. [Abstract] [bibtex-entry]


  21. Fabio Rocca. Modeling Interferogram Stacks. IEEE Trans. Geosci. Remote Sens., 45(10):3289-3299, October 2007. Keyword(s): SAR Processing, PSI, Persistent Scatterer Interferometry, Differential SAR Interferometry, D-InSAR, InSAR, SAR Interferometry, Interferometry, Decorrelation, Temporal Decorrelation, C-band measurement, DInSAR, ERS-1 data, Italy, Rome, agricultural areas, differential interferometric SAR, distributed targets, geometrical decorrelation, interferogram stack modeling, permanent scatterers, progressive ground motion, progressively decorrelating targets, sinusoidal ground motion, synthetic aperture radar interferometry, temporal decorrelation, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  22. G. Luzi, M. Pieraccini, D. Mecatti, L. Noferini, G. Guidi, F. Moia, and C. Atzeni. Ground-based radar interferometry for landslides monitoring: atmospheric and instrumental decorrelation sources on experimental data. IEEE Trans. Geosci. Remote Sens., 42(11):2454-2466, November 2004. Keyword(s): Decorrelation, Temporal Decorrelation, Adaptive optics, Decorrelation, Image analysis, Instruments, Monitoring, Optical distortion, Optical interferometry, Radar interferometry, Synthetic aperture radar, Terrain factors, data acquisition, decorrelation, geomorphology, geophysical signal processing, radar imaging, radiowave interferometry, remote sensing by radar, synthetic aperture radar, terrain mapping, topography (Earth), 5.725 GHz, AD 2002, C-band ground-based equipment, Civita di Bagnoregio, Italy, SAR image acquisition, ancient town, atmospheric decorrelation sources, coherent synthetic aperture radar, geometric distortion, ground-based radar interferometry, instrumental decorrelation sources, interferometric data, landslide monitoring, mechanical stability, optical photogrammetry, spatial decorrelation, temporal decorrelation, terrain movements, 65, Decorrelation, SAR, differential interferometry, ground-based synthetic aperture radar, phase stability, synthetic aperture radar;. [Abstract] [bibtex-entry]


  23. Roland Bürgmann, Paul A. Rosen, and Eric J. Fielding. Synthetic Aperture Radar Interferometry to Measure Earth's Surface Topography and Its Deformation. Annual Review of Earth and Planetary Sciences, 28(1):169-209, 2000. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Differential Interferometry, DInSAR, SAR Interferometry, Coherence, Synthetic aperture radar, SAR interferometry, differential SAR interferometry, DInSAR, interferometric stacking, deformation monitoring, subsidence monitoring, deformation measurements,. [Abstract] [bibtex-entry]


  24. Ridha Touzi, Armand Lopes, Jérôme Bruniquel, and Paris W. Vachon. Coherence estimation for SAR imagery. IEEE Trans. Geosci. Remote Sens., 37(1):135-149, January 1999. Keyword(s): SAR Processing, SAR imagery, coherence, coherence estimation, coherence map resolution, decorrelation, temporal decorrelation, cross-channel correlation, dual channel method, geophysical measurement technique, land surface, multiple-channel, radar imaging, radar remote sensing, synthetic aperture radar, terrain mapping, unbiased coherence estimate, geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, terrain mapping;. [Abstract] [bibtex-entry]


  25. Lars M. H. Ulander and Per-Olov Frölind. Ultra-Wideband SAR Interferometry. IEEE Transactions on Geoscience and Remote Sensing, 36(5):1540-1550, September 1998. Keyword(s): SAR Processing, Interferometry, DEM Generation, Fourier-Hankel Inversion, Hankel Transform, Abel Transform, Ultra-Wideband SAR, VHF SAR, CARABAS, Airborne SAR. [Abstract] [bibtex-entry]


  26. H.A. Zebker and J. Villasenor. Decorrelation in interferometric radar echoes. IEEE Trans. Geosci. Remote Sens., 30(5):950-959, September 1992. Keyword(s): SAR Processing, geophysical techniques, radiowave interferometry, remote sensing by radar, synthetic aperture radar, Decorrelation, Temporal Decorrelation, topography (Earth), Oregon, United States, backscatter, decorrelation, digital terrain model generation, echo correlation statistics, forested area, global digital terrain map, interferometric radar echoes, radar interferometric technique, remote sensing, single synthetic aperture radar, surficial change, topographic mapping, unvegetated lava flows, vegetated surfaces, Decorrelation, Digital elevation models, Noise level, Propulsion, Radar antennas, Space technology, Spaceborne radar, Surface topography, Synthetic aperture radar, Terrain mapping. [Abstract] [bibtex-entry]


Conference articles

  1. Othmar Frey, Charles Werner, Andrea Manconi, and Roberto Coscione. Mobile Mapping of Surface Displacements Using a Novel Compact UAV-Borne / Car-Borne InSAR System. In American Geophysical Union, Fall Meeting 2020, 2020. [Abstract] [bibtex-entry]


  2. O. Ponce, P. Prats, R. Scheiber, A. Reigber, and A. Moreira. First demonstration of 3-D holographic tomography with fully polarimetric multi-circular SAR at L-band. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. - IGARSS, pages 1127-1130, July 2013. Keyword(s): airborne radar, array signal processing, compressed sensing, geophysical image processing, holography, optical focusing, optical tomography, radar imaging, radar polarimetry, radar resolution, synthetic aperture radar, transient response, 3D holographic tomography, 3D polarimetric holographic tomogram, 3D sidelobe reduction, BF, CS, DLR F-SAR airborne system, Earth analysis, IRF, Kaufbeuren Germany, L-band, MCSAR, beamforming, coherent 3D radar backscattering, compressive sensing, dry soil, forested area, fully polarimetric multicircular SAR, ice, impulse response function, multiangular measurement acquisition, synthetic aperture radar, temporal decorrelation, volume scatterer, Apertures, Bandwidth, Image resolution, Imaging, L-band, Synthetic aperture radar, Vegetation, Circular synthetic aperture radar (CSAR), compressive sensing (CS), fast factorized back-projection (FFBP), holographic tomography, polarimetric synthetic aperture radar (PolSAR). [bibtex-entry]


  3. Charles L. Werner, Andreas Wiesmann, Tazio Strozzi, Andrew Kos, Rafael Caduff, and Urs Wegmuller. The GPRI multi-mode differential interferometric radar for ground-based observations. In Proc. EUSAR 2012, pages 304-307, April 2012. Keyword(s): SAR Processing, Interferometry, Radar, Radar interferometry, Surface deformation;. [Abstract] [bibtex-entry]


  4. Fabrizio Lombardini, Francesco Cai, and Matteo Pardini. Tomographic Analyses of Non-stationary Volumetric Scattering. In Proc. EUSAR, pages 1-4, June 2010. Keyword(s): SAR Processing, SAR Tomography, Forestry, Tomography. [Abstract] [bibtex-entry]


  5. Alessandro Parizzi, Xiaoying Cong, and Michael Eineder. First Results from Multifrequency Interferometry. A comparison of different decorrelation time constants at L-, C-, and X-Band. In Proc. FRINGE 2009, Frascati, Italy, pages 1-5, September 2009. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Differential Interferometry, DInSAR, SAR Interferometry, Coherence. [Abstract] [bibtex-entry]


  6. Howard Zebker, Pius Shankar, and Andy Hooper. InSAR Remote Sensing Over Decorrelating Terrains: Persistent Scattering Methods. In IEEE Radar Conference, pages 717-722, April 2007. Keyword(s): SAR Processing, decorrelation, Temporal Decorrelation, filtering theory, radar interferometry, radar signal processing, remote sensing by radar, synthetic aperture radar, terrain mapping, topography (Earth), vegetation mapping, InSAR remote sensing, San Francisco Bay segments, bare-Earth topography, decorrelation, detection theory, displacement measurement, echoes, filtering algorithms, information theoretic estimation, interferometric synthetic aperture radar, motion mapping, persistent scatterer detection, persistent scattering method, phase unwrapping, radar images, radar signals, spaceborne satellite data, stable true-ground scattering point identification, subtle surface motion mapping, surface deformation, terrain mapping, vegetation mapping, visual geodetic technique, Decorrelation, Displacement measurement, Radar imaging, Radar remote sensing, Radar scattering, Remote sensing, Spaceborne radar, Synthetic aperture radar interferometry, Terrain mapping, Vegetation mapping, InSAR, persistent scattering, radar remote sensing, surface deformation. [Abstract] [bibtex-entry]


  7. L. Pipia, A. Aguasca, X. Fabregas, J. J. Mallorqui, and C. Lopez-Martinez. Temporal decorrelation in polarimetric differential interferometry using a ground-based SAR sensor. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. IGARSS '05, volume 6, pages 4108-4111, July 2005. Keyword(s): GB-SAR, ground-based SAR, terrestrial SAR, Azimuth, Decorrelation, Temporal Decorrelation, Interferometry, Monitoring, Polarization, Satellites, Semiconductor device measurement, Testing, Urban areas, Vegetation. [bibtex-entry]


  8. 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, parameter estimation, 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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Last modified: Mon Feb 1 16:41:26 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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