Publications about 'MLE'

Articles in journal or book chapters

1. Homa Ansari, Francesco De Zan, and Richard Bamler. Sequential Estimator: Toward Efficient InSAR Time Series Analysis. IEEE Transactions on Geoscience and Remote Sensing, 55(10):5637-5652, October 2017. Keyword(s): SAR Processing, SAR Interferometry, InSAR, differential SAR interferometry, D-InSAR, covariance matrices, data compression, image coding, radar imaging, radar interferometry, synthetic aperture radar, time series, Big Data, InSAR time series analysis, compressed data batch artificial interferograms, data batch compression, data covariance matrix analysis, data reduction, high-precision near-real-time processing, interferometric phase estimation, recursive estimation, sequential estimator, virtual image estimator, wide-swath synthetic aperture radar mission, Coherence, Earth, Maximum likelihood estimation, Monitoring, Synthetic aperture radar, Time series analysis, Big Data, coherence estimation error, data compression, differential interferometric synthetic aperture radar (DInSAR), distributed scatterers, efficiency, error analysis, low-rank approximation, maximum-likelihood estimation (MLE). [Abstract] [bibtex-entry]



2. Christoph H. Gierull and Ishuwa C. Sikaneta. Estimating the effective number of looks in interferometric SAR data. IEEE Trans. Geosci. Remote Sens., 40(8):1733-1742, August 2002. Keyword(s): SAR Processing, ENL, effective number of looks, maximum likelihood estimation, method of moments, radar imaging, radiowave interferometry, remote sensing by radar, synthetic aperture radar, CFAR detection thresholds, MoM, adjacent pixels, compensation, complex correlation coefficient, constant false alarm rate detection thresholds, filtering, interferometric SAR data, maximum-likelihood estimator, moving-target detection, multilook interferometric phase, pdf, probability density function, statistical dependence, synthetic aperture radar images, Clutter, Interferometry, Layout, Maximum likelihood estimation, Pixel, Probability density function, Radar detection, Speckle, Statistics. [Abstract] [bibtex-entry]



3. Petre Stoica and A. Nehorai. MUSIC, maximum likelihood, and Cramer-Rao bound: further results and comparisons. IEEE Transactions on Acoustics, Speech and Signal Processing, 38(12):2140-2150, December 1990. Keyword(s): SAR Processing, MUSIC, SAR Tomography, parameter estimation, signal detection, signal processing, statistical analysisCramer-Rao bound, covariance matrix, direction-of-arrival, maximum likelihood estimator, multiple signal characterization, narrowband plane waves, noisy measurements, performance comparisons, statistical performance, superimposed signals, uniform linear sensor arrays, unweighted MUSIC estimator, weighted MUSIC estimators. [Abstract] [bibtex-entry]



4. Petre Stoica, Randolph L. Moses, Benjamin Friedlander, and Torsten Söderström. Maximum likelihood estimation of the parameters of multiple sinusoids from noisy measurements. Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on, 37(3):378-392, 1989. Keyword(s): RFI Suppression, filtering and prediction theory, spectral analysis, Cramer-Rao bound covariance matrix, initial estimates, maximum-likelihood, maximum-likelihood estimator, MLE, multiple sinusoids, noisy measurements. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
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