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Publications about 'dual frequency'

Articles in journal or book chapters

  1. Muriel Pinheiro, Andreas Reigber, Rolf Scheiber, Pau Prats-Iraola, and Alberto Moreira. Generation of Highly Accurate DEMs Over Flat Areas by Means of Dual-Frequency and Dual-Baseline Airborne SAR Interferometry. IEEE Transactions on Geoscience and Remote Sensing, pp 1-30, 2018. Keyword(s): Calibration, Data models, Decorrelation, Interferometry, Standards, Surfaces, Synthetic aperture radar, Digital elevation model (DEM), SAR interferometry (InSAR)., dual frequency, repeat-pass interferometry. [Abstract] [bibtex-entry]


Conference articles

  1. C. Derksen, J. King, S. Belair, C. Garnaud, V. Vionnet, V Fortin, J. Lemmetyinen, Y. Crevier, P. Plourde, B. Lawrence, H. van Mierlo, G. Burbidge, and P. Siqueira. Development of the Terrestrial Snow Mass Mission. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 614-617, July 2021. IEEE. Keyword(s): Radar Remote Sensing, snow, Terrestrial Snow Mass Mission, TSMM, Ku-band, Ka-band. [Abstract] [bibtex-entry]


  2. 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]


  3. Charles L. Werner, Andreas Wiesmann, Tazio Strozzi, Martin Schneebeli, and Christian Matzler. The SnowScat ground-based polarimetric scatterometer: Calibration and initial measurements from Davos Switzerland. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 2363-2366, July 2010. Keyword(s): SnowScat, KuScat, calibration, geophysical equipment, radar polarimetry, snow, COld REgions Hydrology High-resolution Observatory Mission, Davos Switzerland, Ku-Band, SNOWSCAT ground-based polarimetric scatterometer, SnowScat, VH polarization, VV polarization, X-Band, calibration, dry snow, dual frequency radar, ground-based coherent polarimetric scatterometer, snow water equivalent retrieval algorithms, Antenna measurements, Antennas, Calibration, Frequency measurement, Instruments, Radar measurements, Snow. [Abstract] [bibtex-entry]


  4. Andreas Wiesmann, Charles L. Werner, Tazio Strozzi, Christian Matzler, Thomas Nagler, Helmut Rott, Martin Schneebeli, and Urs Wegmuller. SnowScat, X- to Ku-Band Scatterometer Development. In Proc. ESA Living Planet Symposium, June 2010. Keyword(s): SnowScat, KuScat, backscatter, hydrological techniques, radiometry, remote sensing by radar, snow, spaceborne radar, C-band SAR satellite systems, ESA CoRe-H2O mission, Ku-band scatterometer, Swiss Alps, X-band scatterometer, backscatter information, backscattering signal, dry snow cover, dual frequency radar, frequency 18 GHz, frequency 9 GHz, mobile scatterometer, snow coverage, snow liquid water content, snow structure, spaceborne active microwave remote sensing, Backscatter, Frequency, Ground support, Radar measurements, Remote sensing, Satellites, Signal generators, Snow, Spaceborne radar, Water storage, Scatterometer, Snow, backscatter, snow grain. [Abstract] [bibtex-entry]


  5. Andreas Wiesmann, Charles L. Werner, Christian Matzler, Martin Schneebeli, Tazio Strozzi, and Urs Wegmuller. Mobile X- to Ku-band Scatterometer in Support of the CoRe-H2O Mission. In Proc. IEEE Int. Geosci. Remote Sens. Symp., volume 5, pages 244-247, July 2008. Keyword(s): SnowScat, KuScat, backscatter, hydrological techniques, radiometry, remote sensing by radar, snow, spaceborne radar, C-band SAR satellite systems, ESA CoRe-H2O mission, Ku-band scatterometer, Swiss Alps, X-band scatterometer, backscatter information, backscattering signal, dry snow cover, dual frequency radar, frequency 18 GHz, frequency 9 GHz, mobile scatterometer, snow coverage, snow liquid water content, snow structure, spaceborne active microwave remote sensing, Backscatter, Frequency, Ground support, Radar measurements, Remote sensing, Satellites, Signal generators, Snow, Spaceborne radar, Water storage, Scatterometer, Snow, backscatter, snow grain. [Abstract] [bibtex-entry]


Internal reports

  1. NISAR. NASA-ISRO SAR (NISAR) Mission ScienceUsers' Handbook.. Technical report, NASA Jet Propulsion Laboratory, 2018. Keyword(s): L-band, NASA, ISRO, NISAR, spaceborne SAR, SAR Interferometry, deformation, displacement, ground motion, geohazards, sea ice types, detection of icebergs, forest, monitoring, changes in global forest carbon stocks, carbon stocks, Agriculture, food security, mapping of water availability, water use, soil moisture, moisture, glacier, ice sheets, climate change, maritime surveillance. [Abstract] [bibtex-entry]


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Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

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 14:23:11 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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