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Publications about 'Fourier domain'

Articles in journal or book chapters

  1. 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]


  2. Marc Rodriguez-Cassola, Pau Prats, Gerhard Krieger, and Alberto Moreira. Efficient Time-Domain Image Formation with Precise Topography Accommodation for General Bistatic SAR Configurations. IEEE Transactions on Aerospace and Electronic Systems, 47(4):2949-2966, October 2011. Keyword(s): SAR Processing, Bistatic SAR, Time-Domain Back-Projection, TDBP, Fast-Factorized Back-Projection, FFBP, Fast Back-Projection, Back-Projection, Doppler information, German Aerospace Center, TerraSAR-X/F-SAR bistatic data, TerraSAR-X, F-SAR, nonstationary bistatic acquisitions, phase-preserving bistatic focusing, synchronization algorithm, airborne radar, backscatter, calibration, data acquisition, geophysical signal processing, radar signal processing, remote sensing by radar, spaceborne radar, synchronisation, synthetic aperture radar. [Abstract] [bibtex-entry]


  3. 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]


  4. 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]


  5. Jean-Luc Starck, E.J. Candes, and D.L. Donoho. The curvelet transform for image denoising. IEEE Transactions on Image Processing, 11(6):670-684, June 2002. Keyword(s): Cartesian samples, Fourier space, Fourier-domain, approximate digital Radon transform, approximate digital implementations, concentric squares geometry, curvelet coefficients, curvelet transform, decimated wavelet transforms, exact reconstruction, filter bank, frequency domain, image denoising, interpolation, low computational complexity, overcomplete wavelet pyramid, pseudo-polar sampling set, rectopolar grid, ridgelet transform, stability, tree-based Bayesian posterior mean methods, trous wavelet filters, undecimated wavelet transforms, visual performance, wavelet-based image reconstruction, white noise, Fourier transforms, Radon transforms, channel bank filters, filtering theory, image reconstruction, interpolation, wavelet transforms, white noise;. [Abstract] [bibtex-entry]


Conference articles

  1. Yu Ding and David C. Munson, Jr.. A fast back-projection algorithm for bistatic SAR imaging. In Proc. Int. Conf. on Image Processing, volume 2, pages 449-452, 2002. Keyword(s): SAR Processing, Time-Domain Back-Projection, Back-projection, Bistatic SAR, image reconstruction, integral equations, radar imaging, synthetic aperture radar, tomography 2D interpolation, FFT, Fourier domain, Fourier domain data, bistatic SAR imaging, computational cost reduction, direct Fourier reconstruction, fast back-projection algorithm, image formation algorithms, integral equations, near-field imaging, nonCartesian grid, simulation results, synthetic aperture radar, tomography. [Abstract] [bibtex-entry]


  2. Joachim H. G. Ender. The meaning of k-space for classical and advanced SAR techniques. In International Symposium Physics in Signal and Image Processing, PSIP 2001, Marseille, pages 23-38, January 2001. Keyword(s): SAR Processing, k-Space, Airborne SAR, Bistatic SAR. [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 16:39:50 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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