Publications about 'Electromagnetic scattering'

Articles in journal or book chapters

  1. Albert R. Monteith, Lars M. H. Ulander, and Stefano Tebaldini. Calibration of a Ground-Based Array Radar for Tomographic Imaging of Natural Media. Remote Sensing, 11(24), 2019. Keyword(s): SAR Tomography, BorealScat. [Abstract] [bibtex-entry]

  2. 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]

  3. Mariko S. Burgin, Uday K. Khankhoje, Xueyang Duan, and Mahta Moghaddam. Generalized Terrain Topography in Radar Scattering Models. IEEE Transactions on Geoscience and Remote Sensing, 54(7):3944-3952, July 2016. Keyword(s): terrain mapping, topography (Earth), vegetation, N-layered soil structure, evergreen forest, extended boundary condition method, modular model, multilayered multispecies vegetation model, overlying vegetation, radar scattering models, radar wave interactions, terrain topography, topographic slopes, Backscatter, Radar, Radar scattering, Surface topography, Vegetation mapping, Electromagnetic scattering, modeling, radar terrain factors, remote sensing, vegetation. [Abstract] [bibtex-entry]

  4. Uday K. Khankhoje, Mariko S. Burgin, and Mahta Moghaddam. On the Accuracy of Averaging Radar Backscattering Coefficients for Bare Soils Using the Finite-Element Method. IEEE Geoscience and Remote Sensing Letters, 11(8):1345-1349, August 2014. Keyword(s): finite element analysis, geophysical techniques, remote sensing by radar, soil, surface roughness, 2-D finite-element method, Gaussian correlated surfaces, Gaussian correlated surfaces possessing behavior, Gaussian type, assumption validity, average coefficients, averaging assumption, averaging radar backscattering coefficient accuracy, backscatter averaging assumption breaks, backscatter averaging assumption validity conditions, bare rough surface assumption validity, bare soils, constitutive homogeneous pixels, ensemble averaged true coefficient computation, exponential type, exponentially correlated surfaces, heterogeneity impact quantification, heterogeneity source, heterogeneous moisture pixels, heterogeneous pixels, heterogeneous roughness pixels, heterogeneous soil moisture, heterogeneous soil roughness, high-contrast pixels, higher cross-pixel coherent interactions, longest correlation lengths, soil moisture, soil surface roughness, surface correlation type, surface variety computed averages, Backscatter, Correlation, Radar, Rough surfaces, Soil moisture, Surface roughness, Electromagnetic scattering by rough surfaces, finite-element methods (FEMs). [Abstract] [bibtex-entry]

  5. G. Margarit, J. J. Mallorqui, and L. Pipia. Polarimetric Characterization and Temporal Stability Analysis of Urban Target Scattering. IEEE_J_GRS, 48(4):2038-2048, April 2010. Keyword(s): geophysical image processing, radar polarimetry, synthetic aperture radar, vegetation mapping, GRaphical Electromagnetic Computing SAR data, RADARSAT-2, TerraSAR-X, geometrical configuration, geometry-scattering, high resolution images, land classification, nonprobabilistic models, polarimetric capabilities, polarimetric characterization, polarimetric-dispersion properties, quasideterministic scattering behavior, synthetic aperture radar images, temporal stability analysis, urban target scattering, urban-image postprocessing, Analytical models, Computational modeling, Electromagnetic modeling, Electromagnetic scattering, Geometry, Image analysis, Radar scattering, Solid modeling, Stability analysis, Synthetic aperture radar, Polarimetry, synthetic aperture radar (SAR) simulation, urban scattering. [bibtex-entry]

  6. 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]

  7. Robert N. Treuhaft, Soren N. Madsen, Mahta Moghaddam, and Jakob van Zyl. Vegetation characteristics and underlying topography from interferometric radar. Radio Science, 31(6):1449-1485, 1996. Keyword(s): SAR Processing, InSAR, Interferometry, Vegetation Parameters, Parameter Extraction, Topography, SAR Tomography. [Abstract] [bibtex-entry]

  8. John C. Curlander, Benjamin Holt, and Kevin J. Hussey. Determination of sea ice motion using digital SAR imagery. Oceanic Engineering, IEEE Journal of, 10(4):358-367, 1985. Keyword(s): SAR Processing, Image analysis, motion, Image motion analysis, Sea ice, Sea surface electromagnetic scattering, Synthetic-aperture radar. [Abstract] [bibtex-entry]

Conference articles

  1. Alain Arnaud. Ship detection by SAR interferometry. In Proc. IEEE Int. Geosci. Remote Sens. Symp., volume 5, pages 2616-2618 vol.5, June 1999. Keyword(s): ships, radar detection, synthetic aperture radar, radar imaging, marine radar, naval radar, marine radar, ship detection, SAR interferometry, InSAR, synthetic aperture radar, radar imaging, small ship, agitated sea surface, low incidence angle, method, coherence, phase, phase coherence, Marine vehicles, Interferometry, Synthetic aperture radar, Satellites, Electromagnetic scattering, Radar detection, Sea surface, Backscatter, Azimuth, Phase detection. [bibtex-entry]

  2. Bruno Juhel, Georges Vezzosi, and Marc Le Goff. Radio Frequency Interferences Suppression for Noisy Ultra Wide Band SAR Measurements. In Ultra-Wideband Short-Pulse Electromagnetics 4, 1998, pages 387-393, June 1998. Keyword(s): SAR Processing, Back-Projection, Ultra-Wideband SAR, RFI Suppression. [Abstract] [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: Mon Feb 1 16:39:41 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .

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