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Publications about 'pixel selection process'

Articles in journal or book chapters

  1. R. Iglesias, D. Monells, X. Fabregas, J. J. Mallorqui, A. Aguasca, and C. Lopez-Martinez. Phase Quality Optimization in Polarimetric Differential SAR Interferometry. IEEE Transactions on Geoscience and Remote Sensing, 52(5):2875-2888, May 2014. Keyword(s): geophysical techniques, optimisation, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, ALOS, DInSAR processing, DInSAR techniques, RADARSAT-2, TerraSAR-X, advanced land observing satellite, amplitude dispersion case, amplitude dispersion maps, classical single-polarimetric approach, coherence case, differential SAR interferometry, differential synthetic aperture radar interferometry, final DInSAR result density, final DInSAR result reliability, fully polarimetric data unavailability, ground-based SAR fully polarimetric data, interferometric technique merging, orbital SAR fully polarimetric data, phase quality optimization, pixel candidate number threefold, pixel phase quality, pixel selection process, polarimetric capabilities, polarimetric differential SAR interferometry, polarimetric optimization techniques, polarimetric technique merging, polarimetrically optimized coherence, satellite launch, single-polarimetric case, Amplitude dispersion optimization, coherence optimization, differential synthetic aperture radar (SAR) interferometry (DInSAR), polarimetric DInSAR (PolDInSAR), polarimetry. [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: Mon Feb 1 16:40:44 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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