Publications about 'inversion algorithm'

Articles in journal or book chapters

1. S. B. Kim, Mahta Moghaddam, L. Tsang, Mariko S. Burgin, X. Xu, and E. G. Njoku. Models of L-Band Radar Backscattering Coefficients Over Global Terrain for Soil Moisture Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 52(2):1381-1396, February 2014. Keyword(s): Maxwell equations, permittivity, remote sensing by radar, soil, time series, vegetation mapping, L-band radar backscattering coefficient models, Maxwell equations, RMS height, VWC, accurate soil moisture inversion, airborne data, airborne observation, bare surface, co-pol RMS errors, corn crop, datacube errors, dielectric soil constant, distorted Born approximation framework, double-bounce reflectivity, double-bounce volume-surface interaction, empirical formulae, empirical parameters, fast soil moisture inversion, field-based radar data, global land surface, global terrain, grass fields, in situ observation, independent spaceborne phased array type L-band synthetic aperture radars, input parameters, international geosphere-biosphere programme scheme, land surface class simulation, lookup tables, major crops, mean difference range, numerical solutions, physical model outputs, real-time soil moisture inversion, rice crop, shrub, single scatterer, soil moisture active passive mission data, soil moisture retrieval, soil surface root mean square, sophisticated forward model direct inversion, soybean crop, spaceborne Aquarius scatterometer data, surface scattering, theoretical models. [Abstract] [bibtex-entry]



2. Alireza Tabatabaeenejad, Mariko S. Burgin, and Mahta Moghaddam. Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests. IEEE Transactions on Geoscience and Remote Sensing, 50(6):2150-2160, June 2012. Keyword(s): calibration, data analysis, forestry, remote sensing by radar, simulated annealing, soil, vegetation mapping, AD 2010 06, Jet Propulsion Laboratory, L-band radar, National Aeronautics and Space Administration, SMAP mission, Uninhabited Aerial Vehicle Synthetic Aperture Radar, absolute retrieval error analysis, calibration method, canopy parameter retrieval, central Canada boreal forests, discrete scatterer radar model, forest structure, forward scattering model, global optimization scheme, inversion method, old black spruce site, old jack pine forests, optimization algorithm, optimization problem, relative retrieval error, scattering mechanisms, simulated annealing, soil moisture information, subcanopy parameter retrieval, surface soil moisture retrieval, synthetic data, vegetation parameters, young jack pine forests, Backscatter, Dielectric constant, L-band, Radar, Scattering, Soil moisture, Vegetation mapping, Allometric relationships, Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10), L-band radar, Soil Moisture Active and Passive (SMAP), boreal forest, canopy, inverse problem, microwave scattering. [Abstract] [bibtex-entry]



3. A. Elsherbini and K. Sarabandi. Mapping of Sand Layer Thickness in Deserts Using SAR Interferometry. IEEE_J_GRS, 48(9):3550-3559, September 2010. Keyword(s): electromagnetic wave scattering, geophysical image processing, geophysical techniques, radar interferometry, remote sensing by radar, sand, synthetic aperture radar, terrain mapping, topography (Earth), Ka InSAR, SAR interferometry, Saudi Arabia, aperture radar system, bedrock topography, desert area, groundwater exploration, inversion algorithm, oil field, radar imaging, sand layer thickness, sand topography, sensitivity analysis, subsurface imaging, Costs, Explosives, Laser radar, Light scattering, Optical scattering, Petroleum, Radar scattering, Seismic waves, Surfaces, Synthetic aperture radar interferometry, Interferometric synthetic aperture radar (InSAR). [bibtex-entry]



4. G. Franceschetti, A. Iodice, S. Perna, and D. Riccio. SAR Sensor Trajectory Deviations: Fourier Domain Formulation and Extended Scene Simulation of Raw Signal. IEEE Transactions on Geoscience and Remote Sensing, 44(9):2323-2334, September 2006. Keyword(s): SAR Processing, Simulation, SAR RAW Signal Simulation, Fourier transforms, geophysical signal processing, remote sensing by radar, synthetic aperture radar, 1D azimuth Fourier domain processing, 2D Fourier domain SAR raw signal simulator, Fourier domain formulation, airborne SAR systems, computation efficiency, extended scene simulation, fast Fourier transform algorithms, inversion algorithm design, mission planning, narrow beam-slow deviation assumption, nominal straight-line path, processing algorithm testing, range time-domain integration, sensor trajectory deviations, synthetic aperture radar raw signal simulation, system design, Algorithm design and analysis, Computational modeling, Fast Fourier transforms, Layout, Process planning, Signal design, Signal processing, Synthetic aperture radar, System testing, Two dimensional displays, Motion compensation, simulation, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



5. Bert M. Kampes and Ramon F. Hanssen. Ambiguity resolution for permanent scatterer interferometry. IEEE Trans. Geosci. Remote Sens., 42(11):2446-2453, November 2004. Keyword(s): LAMBDA method, ambiguity decorrelation, ambiguity resolution, bootstrap estimation, carrier phase observations, global positioning systems, integer least squares estimation, multivariate normal distribution, nonlinear parameter inversion algorithm, permanent scatterer interferometry, phase cycle ambiguity estimation, synthetic aperture radar interferometry, system of equations, variance-covariance matrix, geophysical signal processing, least squares approximations, normal distribution, parameter estimation, radiowave interferometry, remote sensing, remote sensing by radar, synthetic aperture radar;. [Abstract] [bibtex-entry]



6. Silvia Cimmino, Giorgio Franceschetti, Antonio Iodice, Daniele Riccio, and Giuseppe Ruello. Efficient Spotlight SAR Raw Signal Simulation of Extended Scenes. IEEE Transactions on Geoscience and Remote Sensing, 41(10):2329-2337, October 2003. Keyword(s): SAR Processing, Simulation, SAR Simulator, Raw Data Simulator, Spotlight SAR. [Abstract] [bibtex-entry]



7. S.R. Cloude, J. Fortuny, J.M. Lopez-Sanchez, and A.J. Sieber. Wide-band polarimetric radar inversion studies for vegetation layers. IEEE Transactions on Geoscience and Remote Sensing, 37(5):2430-2441, September 1999. Keyword(s): backscatter, forestry, geophysical techniques, image classification, radar cross-sections, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation mappingbackscatter, canopy, complex volume scattering, entropy-alpha target decomposition scheme, ficus tree, fig, fir tree, forest, geophysical measurement technique, image classification scheme, inversion algorithm, parametric inversion, polarimetric radar inversion, radar scattering, radar theory, random particle cloud model, small anisotropic particles, two-parameter model, vegetation layer, vegetation mapping, wide band method. [Abstract] [bibtex-entry]



8. Harish Subbaram and Ken Abend. Interference suppression via orthogonal projections: a performance analysis. Antennas and Propagation, IEEE Transactions on, 41(9):1187-1194, 1993. Keyword(s): SAR Processsing, RFI Suppression, orthogonal projections, subspace separation, principle component analysis, antenna phased arrays, antenna radiation patterns, array signal processing, interference suppression, jamming, adaptive jammer suppression, additive noise, average residual interference, computer simulations, jammer plus noise power, jammer snapshots, mainbeam, performance analysis, performance parameters, performance predictions, phased array antennas, sample matrix inversion algorithm, sidelobe levels, vector spaces, weight vector. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
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