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Publications about 'advanced land observing satellite phased array type L-band SAR L-band images'

Articles in journal or book chapters

  1. G. Gomba and F. De Zan. Bayesian Data Combination for the Estimation of Ionospheric Effects in SAR Interferograms. IEEE_J_GRS, 55(11):6582-6593, November 2017. Keyword(s): SAR Processing, split-spectrum, split-spectrum interferometry, split-band, split-band interferometry, Bayes methods, Faraday effect, fractals, inverse problems, ionospheric electromagnetic wave propagation, radar imaging, radar interferometry, remote sensing by radar, synthetic aperture radar, Bayesian data combination, Bayesian inverse problem, Faraday rotation method, SAR images, SAR interferograms, advanced land observing satellite phased array type L-band SAR L-band images, azimuth mutual shifts, data-based model parameter estimation, differential ionospheric phase screen, error source, estimation accuracy, information sources, interferometric pair images, ionosphere turbulence, ionospheric effects estimation, ionospheric propagation path delay, physically realistic fractal modeling, range variations, sensitive azimuth shifts, simple split-spectrum method, small-scale azimuth variations, synthetic aperture radar interferograms, Azimuth, Estimation, Extraterrestrial measurements, Ionosphere, Synthetic aperture radar, Ionosphere estimation, SAR ionospheric effects, interferometric synthetic aperture radar (SAR), methods\textquoteright combination. [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.
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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 14:22:34 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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