Publications about 'minimization problem'

Articles in journal or book chapters

1. Antonio Pepe, Yang Yang, Mariarosaria Manzo, and Riccardo Lanari. Improved EMCF-SBAS Processing Chain Based on Advanced Techniques for the Noise-Filtering and Selection of Small Baseline Multi-Look DInSAR Interferograms. IEEE Transactions on Geoscience and Remote Sensing, 53(8):4394-4417, August 2015. Keyword(s): SAR Processing, SAR interferometry, InSAR, DInSAR, phase unwrapping, extended minimum cost flow (EMCF), EMCF phase unwrapping method, minimum cost flow, small baseline subset, SBAS, Deformation, Deformation time-series, differential synthetic aperture radar interferometry (DInSAR), small baseline subset (SBAS), EMCF-SBAS processing chain improvement, small baseline multilook DInSAR interferogram selection, deformation time-series retrieval, differential SAR interferometry, SBAS inversion technique, effective noise-filtering operation, wrapped phase vector, weighted circular variance, original interferogram, noise-filtered interferogram, exploited full-resolution SAR image, complex-valued SAR image statistics, advanced EMCF-SBAS processing chain. [Abstract] [bibtex-entry]



2. Piyush Shanker Agram and Howard Zebker. Edgelist phase unwrapping algorithm for time series InSAR analysis. J. Opt. Soc. Am. A, 27(3):605-612, March 2010. Keyword(s): SAR Processing, Three-dimensional image processing, Interferometry, InSAR, SAR Interferometry, Synthetic aperture radar, Phase, Phase unwrapping. [Abstract] [bibtex-entry]



3. E.J. Candes, J. Romberg, and T. Tao. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory, 52(2):489-509, feb. 2006. Keyword(s): Fourier coefficient, convex optimization, discrete-time signal, image reconstruction, incomplete frequency information, linear programming, minimization problem, nonlinear sampling theorem, piecewise constant object, probability value, robust uncertainty principle, signal reconstruction, sparse random matrix, trigonometric expansion, Fourier analysis, convex programming, image reconstruction, image sampling, indeterminancy, linear programming, minimisation, piecewise constant techniques, probability, signal reconstruction, signal sampling, sparse matrices;. [Abstract] [bibtex-entry]



4. E.J. Candes and T. Tao. Decoding by linear programming. IEEE Transactions on Information Theory, 51(12):4203-4215, December 2005. Keyword(s): Gaussian random matrix, basis pursuit, linear code decoding, linear programming, minimization problem, natural error correcting problem, simple convex optimization problem, sparse solution, uncertainty principle, Gaussian processes, convex programming, decoding, error correction codes, indeterminancy, linear codes, linear programming, minimisation, random codes, sparse matrices;. [Abstract] [bibtex-entry]



5. Mario Costantini. A novel phase unwrapping method based on network programming. IEEE Trans. Geosci. Remote Sens., 36(3):813-821, May 1998. Keyword(s): SAR Processsing, phase unwrapping, SAR Interferometry, InSAR, SAR, geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, SAR interferometry, function reconstruction, geophysical measurement technique, global minimization problem, interferometric SAR, land surface, neighboring pixel, network programming, network structure, phase difference, phase unwrapping method, radar imaging, radar remote sensing, synthetic aperture radar, terrain mapping, Costs, Fast Fourier transforms, Functional programming, Interferometry, Performance evaluation, Phase estimation, Robustness, Synthetic aperture radar, Testing, Two dimensional displays. [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.

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