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Publications about 'interferometric coherence'

Articles in journal or book chapters

  1. Josef Kellndorfer, Oliver Cartus, Marco Lavalle, Christophe Magnard, Pietro Milillo, Shadi Oveisgharan, Batu Osmanoglu, Paul A. Rosen, and Urs Wegmuller. Global seasonal Sentinel-1 interferometric coherence and backscatter data set. Scientific Data, 9(1):73, 2022. [Abstract] [bibtex-entry]


  2. Angelique Benoit, Beatrice Pinel-Puyssegur, Romain Jolivet, and Cecile Lasserre. CorPhU: an algorithm based on phase closure for the correction of unwrapping errors in SAR interferometry. Geophysical Journal International, 221(3):1959-1970, 03 2020. [Abstract] [bibtex-entry]


  3. 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]


  4. Andrea Monti Guarnieri and Fabio Rocca. Options for continuous radar Earth observations. Science China Information Sciences, 60(6), May 2017. Keyword(s): SAR Processing, geostationary, geostationary SAR, geosynchronous, geosynchronous SAR, Spaceborne SAR. [Abstract] [bibtex-entry]


  5. 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]


  6. Francesco De Zan, A. Parizzi, Pau Prats-Iraola, and Paco López-Dekker. A SAR Interferometric Model for Soil Moisture. IEEE_J_GRS, 52(1):418-425, January 2014. Keyword(s): dielectric properties, hydrological techniques, radar interferometry, remote sensing by radar, soil, synthetic aperture radar, Born approximation, L-band airborne SAR data, SAR interferometric model, coherence magnitudes, complex interferometric coherences, geometrical properties, interferogram triplets, phase consistency, plane waves, quantitatively synthetic aperture radar interferometric observables, scattering models, soil moisture, tomography, vertical complex wavenumbers, Coherence, L-band, Moisture, Soil moisture, Synthetic aperture radar, synthetic aperture radar (SAR) interferometry. [Abstract] [bibtex-entry]


  7. Karlus A. Câmara de Macedo, Christian Wimmer, T.L.M. Barreto, Dieter Lubeck, J.R. Moreira, L.M.L. Rabaco, and W.J. de Oliveira. Long-Term Airborne DInSAR Measurements at X- and P-Bands: A Case Study on the Application of Surveying Geohazard Threats to Pipelines. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(3):990-1005, June 2012. Keyword(s): SAR Processing, Deformation measurements, displacement measurements, DInSAR, differential interferometry, Airborne SAR, X-band, P-Band, OrbiSAR, Orbisat, BRADAR, geohazards, hazards, motion measurement, pipelines, radar interferometry, remote sensing by radar, surveying, synthetic aperture radar, time series, Brazil, OrbiSAR system, OrbiSat, P-band airborne DInSAR, PROTRAN, Petrobras, Sao Sebastiao, X-band airborne DInSAR, airborne DInSAR data, geodynamic processes, geohazard risk monitoring, geohazard risks, land movement measurement, long term airborne DInSAR measurements, pipeline geohazard threat surveying, pipeline structural damage, residual motion errors, time series analysis, Antenna measurements, Antennas, Global Positioning System, Interferometry, Pipelines, Radar tracking, Synthetic aperture radar, Airborne, P-band, X-band, differential interferometry (DInSAR), geohazards. [Abstract] [bibtex-entry]


  8. 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]


  9. 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]


  10. 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]


  11. 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]


  12. Shane R. Cloude. Polarization coherence tomography. Radio Sci., 41, August 2006. Keyword(s): SAR Processing, SAR Tomography, radar tomography, polarimetric interferometry, radar polarimetry, Remote sensing, Inverse scattering, Random media and rough surfaces, Interferometry, InSAR, SAR Interferometry, PolInSAR. [Abstract] [bibtex-entry]


  13. E. Colin, C. Titin-Schnaider, and W. Tabbara. An interferometric coherence optimization method in radar polarimetry for high-resolution imagery. IEEE Trans. Geosci. Remote Sens., 44(1):167-175, January 2006. Keyword(s): backscatter, data acquisition, geophysical signal processing, geophysical techniques, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, X-band interferometric SAR image, X-band polarimetric SAR image, anechoic chamber, data acquisition, high-resolution imagery, interferometric coherence optimization, point scatterer separation, radar polarimetry, single-mechanism coherence, synthetic aperture radar, target measurements, Anechoic chambers, Antenna measurements, Decorrelation, Electromagnetic scattering, Image resolution, Optimization methods, Polarization, Radar polarimetry, Radar scattering, Synthetic aperture radar interferometry, Coherence optimization, interferometry, polarimetry. [Abstract] [bibtex-entry]


  14. A. Refice, F. Bovenga, and R. Nutricato. MST-based stepwise connection strategies for multipass Radar data with application to coregistration and equalization. IEEE Trans. Geosci. Remote Sens., 44(8):2029-2040, 2006. Keyword(s): SAR Processing, SAR Tomography, Tomography, geophysical signal processing, image registration, interferometry, radar imaging, remote sensing by radar, synthetic aperture radar, European Remote Sensing Satellite, InSAR coherence, MST-based stepwise connection strategy, data processing, distance function, geometric shift, image coregistration, image equalization, interferometric SAR, interferometric coherence, minimum spanning tree, multipass radar data, radiometric calibration, radiometric equalization, Data processing, minimum spanning tree (MST), multipass synthetic aperture radar (SAR) interferometry. [Abstract] [bibtex-entry]


  15. A. Reigber and L. Ferro-Famil. Interference suppression in synthesized SAR images. IEEE Geosci. Remote Sens. Lett., 2(1):45-49, 2005. Keyword(s): SAR Processsing, filtering theory, interference suppression, radar imaging, radar interference, synthetic aperture radar, German Aerospace Agency, L-Band, ESAR, SAR imaging, data processing, experimental SAR system, focused SAR images, SLC, image degradation, interferometric coherence, interferometric repeat-pass data, polarimetric descriptors, RFI Suppression, sensitive parameters estimation, synthetic aperture radar imaging. [Abstract] [bibtex-entry]


  16. 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]


  17. 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]


  18. 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. Charles L. Werner, Martin Suess, Othmar Frey, and Andreas Wiesmann. The ESA Wideband Microwave Scatterometer (WBSCAT): Design and Implementation. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 8339-8342, 2019. Keyword(s): ESA Snowlab, SnowScat, Wideband Scatterometer, WBScat, snow, microwave scatterometer, aperture synthesis, time series, polarimetry, tomography, SAR tomography. [Abstract] [bibtex-entry]


  2. Alex Coccia, Stefano Tebaldini, and Adriano Meta. Preliminary results from most recent SAR airborne campaigns by MetaSensing. In Proc. SPIE, volume 9245, pages 92450L-92450L-7, 2014. [Abstract] [bibtex-entry]


  3. A. Elsherbini and K. Sarabandi. Image distortion effects in subsurface SAR imaging of deserts and their correction technique. In Proc. IEEE Int. Geoscience and Remote Sensing Symp, pages 1075-1078, July 2011. Keyword(s): geophysical image processing, iterative methods, radar imaging, radar interferometry, remote sensing by radar, synthetic aperture radar, topography (Earth), arid regions, conventional SAR focusing techniques, correction technique, deserts, dual frequency InSAR, geometric distortion, image degradation, image distortion effects, interferometric coherence, interferometric synthetic aperture radar, iterative approach, nonplanar top surface, point spread function dispersion, scaled model measurements, subsurface SAR imaging, subsurface region imaging, subsurface topography estimation, Azimuth, Focusing, History, Optical surface waves, Solid modeling, Surface topography, Interferometric Synthetic Aperture Radar (InSAR), Radar Imaging, Subsurface Imaging, Terrain Mapping. [bibtex-entry]


  4. Irena Hajnsek, Konstantinos P. Papathanassiou, Alberto Moreira, and Shane R. Cloude. Surface parameter estimation using interferometric and polarimetric SAR. In Proc. IEEE Int. Geoscience and Remote Sensing Symp, volume 1, pages 420-422 vol.1, 2002. Keyword(s): backscatter, geophysical techniques, hydrological techniques, radar cross-sections, radar polarimetry, radar theory, remote sensing by radar, synthetic aperture radar, terrain mapping, geophysical measurement technique, hydrology, interferometric SAR, interferometric coherence, land surface, moisture, polarimetric SAR, radar remote sensing, radar scattering, soil moisture, surface parameter estimation, surface roughness, surface scattering model, Anisotropic magnetoresistance, Coherence, Decorrelation, Parameter estimation, Polarization, Reflectivity, Rough surfaces, Scattering, Surface roughness, Surface topography. [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.




Last modified: Fri Feb 24 14:23:46 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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