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Publications about 'least squares approximations'

Articles in journal or book chapters

  1. Yake Li, Chang Liu, Yanfei Wang, and Qi Wang. A Robust Motion Error Estimation Method Based on Raw Data. IEEE Trans. Geosci. Remote Sens., 50(7):2780-2790, 2012. Keyword(s): SAR Processing, Autofocus, SAR Autofocus, MoComp, Motion Compensation, curve fitting, geophysical image processing, least squares approximations, motion compensation, radar imaging, remote sensing by radar, synthetic aperture radar, RCMC, aircraft reference track deviations, curve fitting, double phase gradient estimation, filtering method, high order motion errors, high precision navigation system, high resolution airborne SAR systems, high resolution imagery, image processing, image quality, large swath mode, light aircraft SAR platform, motion compensation, motion error estimation method, range cell migration correction, range dependent phase errors, range resolution improvement, raw data, synthetic aperture radar, weighted total least square method, Aircraft, Azimuth, Electronics packaging, Error analysis, Estimation, Robustness, Trajectory, Autofocus, motion error estimation, phase gradient filtering, synthetic aperture radar (SAR), weighted total least square (WTLS) method. [Abstract] [bibtex-entry]


  2. Xiao Xiang Zhu and Richard Bamler. Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR. IEEE Trans. Geosci. Remote Sens., 50(1):247-258, January 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry, Persistent Scatterer Interferometry, PSI, TerraSAR-X, X-band, Estimation, Image resolution, Minimization, Noise, Robustness, Strontium, Tomography, Fourier analysis, data acquisition, geophysical techniques, least squares approximations, maximum likelihood estimation, minimisation, probability, remote sensing by radar, spaceborne radar, synthetic aperture radar, tomography, Fourier domain sample, Rayleigh resolution analysis, SL1MMER algorithm, TomoSAR algorithm, compressive sensing robustness analysis, generic super-resolution problem, maximum likelihood parameter estimation, nonlinear least-squares estimation, numerical simulation, probability, spaceborne SAR tomography, sparse spectral estimation, spectral estimation method, super-resolution power, uniformly distributed phase difference analysis, Compressive sensing (CS), SAR tomography (TomoSAR), SL1MMER, spectral estimation, super-resolution (SR). [Abstract] [bibtex-entry]


  3. Tom R. Lauknes, Howard A. Zebker, and Y. Larsen. InSAR Deformation Time Series Using an L1-Norm Small-Baseline Approach. IEEE Trans. Geosci. Remote Sens., 49(1):536-546, January 2011. Keyword(s): SAR Processing, InSAR deformation time series, L1-norm small-baseline approach, displacement phase, land displacement monitoring, reweighted least squares algorithm, satellite data, satellite synthetic aperture radar interferometry, sparse data set, surface displacement, two-dimensional unwrapping, unwrapped interferogram, least squares approximations, radar interferometry, spaceborne radar, synthetic aperture radar, time series;. [Abstract] [bibtex-entry]


  4. S. Ozsoy and A.A. Ergin. Pencil Back-Projection Method for SAR Imaging. IEEE Transactions on Image Processing, 18(3):573-581, March 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, SAR imaging, forward-backward total least squares bandpass matrix pencil method, pencil back-projection method, projected target reflectivity density function, synthetic aperture radar, tomographic image reconstruction, image reconstruction, least squares approximations, matrix algebra, radar imaging, synthetic aperture radar, Algorithms, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Radar, Reproducibility of Results, Sensitivity and Specificity, Tomography;. [Abstract] [bibtex-entry]


  5. S. Feng and J. Chen. Low-angle reflectivity modeling of land clutter. IEEE Geoscience and Remote Sensing Letters, 3(2):254-258, April 2006. Keyword(s): least squares approximations, radar clutter, reflectivity, remote sensing by radar, terrain mapping, complex system design, ground based radar design, inductive reasoning, least squares method, low angle radar targets, low angle reflectivity, mean reflectivity model, radar land clutter modeling, radar surface clutter backscattering, Backscatter, Frequency, Parameter estimation, Polarization, Predictive models, Radar clutter, Radar scattering, Reflectivity, Rough surfaces, Surface roughness, Least squares (LS) methods, radar clutter, radar scattering, radar terrain factors. [Abstract] [bibtex-entry]


  6. 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]


  7. G. Fornaro and E. Sansosti. A two-dimensional region growing least squares phase unwrapping algorithm for interferometric SAR processing. IEEE Transactions on Geoscience and Remote Sensing, 37(5):2215 -2226, September 1999. Keyword(s): 2-D phase unwrapping algorithm, boundary phase values, discrete domain case, finite element method, interferometric SAR processing, reconstructed phase, two-dimensional region growing least squares phase unwrapping algorithm, wrapped phase image, geophysical signal processing, least squares approximations, radar imaging, radiowave interferometry, remote sensing by radar, synthetic aperture radar. [Abstract] [bibtex-entry]


  8. G. Fornaro, G. Franceschetti, R. Lanari, D. Rossi, and M. Tesauro. Interferometric SAR phase unwrapping using the finite element method. IEE Proceedings - Radar, Sonar and Navigation, 144(5):266-274, October 1997. Keyword(s): IFSAR images, computations speedup, efficiency, experiments, finite element method, interferometric SAR phase unwrapping, least-squares solution, multigrid technique, noise robust method, phase unwrapping, precision, real ERS-I data, simulated patterns, time domain, two-dimensional algorithm, weighting functions, finite element analysis, least squares approximations, radar imaging, radiowave interferometry, synthetic aperture radar, time-domain analysis. [Abstract] [bibtex-entry]


  9. J. Li, Z.-S. Liu, and Petre Stoica. 3-D target feature extraction via interferometric SAR. Radar, Sonar and Navigation, IEE Proceedings -, 144(2):71-80, 1997. Keyword(s): SAR Processing, Tomography, SAR Tomography, InSAR, fast Fourier transforms, feature extraction, least squares approximations, parameter estimation, radar cross-sections, radar signal processing, radiowave interferometry, signal resolution, synthetic aperture radar, 3D target feature extraction, Capon, Cramer-Rao bounds, FTF, IFRELAX, IFSAR, MUSIC, data model, interferometric SAR, interferometric synthetic aperture radar, nonlinear least squares parameter estimation method, nonparametric methods, parameter estimates, parameter identifiability conditions, performance, point scatterers, two-dimensional feature extraction methods, windowed FFT. [Abstract] [bibtex-entry]


  10. T. Miller, L. Potter, and John W. McCorkle. RFI suppression for ultra wideband radar. Aerospace and Electronic Systems, IEEE Transactions on, 33(4):1142-1156, 1997. Keyword(s): SAR Processing, interference suppression, least squares approximations, radar imaging, radar interference, radiofrequency interference, synthetic aperture radar, Army Research Laboratory, RFI Suppression, SAR imagery, UWB rail SAR, bias, estimate-and-subtract algorithm, estimated targets, foliage-penetrating imaging, ground-penetrating imaging, radio frequency interference, real-time digital suppression, sidelobe levels, signal model, target energy loss, ultra wideband radar, ultrawideband synthetic aperture radar. [Abstract] [bibtex-entry]


Conference articles

  1. Pierre Duhamel, Mohsen Montazeri, and Katia Hilal. Classical adaptive algorithms (LMS, RLS, CMA, decision directed)seen as recursive structures. In Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on, volume 3, pages 496-499, 1993. Keyword(s): RFI Suppression, adaptive filters, computational complexity, correlation theory, least squares approximations, recursive functions, FIR algorithm, adaptive algorithms, block algorithms, constant modulus algorithm, correlation coefficients, decision-directed algorithm, equilibrium states, finite impulse response, least mean square, LMS, recursive least squares, RLS, recursive structures. [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 16:40:18 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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