Publications about 'maximum-likelihood'

Articles in journal or book chapters

  1. Homa Ansari, Francesco De Zan, and Richard Bamler. Efficient Phase Estimation for Interferogram Stacks. IEEE Transactions on Geoscience and Remote Sensing, 56(7):4109-4125, July 2018. Keyword(s): maximum likelihood estimation, phase estimation, radar interferometry, remote sensing by radar, synthetic aperture radar, terrain mapping, time series, efficient phase estimation, interferogram stacks, signal decorrelation, SAR interferometry, high-precision deformation, different techniques, short baseline subset, SqueeSAR, CAESAR, overarching schemes, different analysis approaches, deformation estimation, called Eigendecomposition, maximum-likelihood-estimator, Interferometric phase, state-of-the-art techniques, computational estimation efficiency, Sequential Estimator, efficient processing scheme, state-of-the-art approaches, Electromagnetic interference, Time series analysis, Maximum likelihood estimation, Systematics, Synthetic aperture radar, Strain, Big Data, coherence matrix, covariance estimation, differential interferometric synthetic aperture radar, distributed scatterers (DS), efficiency, error analysis, maximum-likelihood estimation, near real-time (NRT) processing. [Abstract] [bibtex-entry]

  2. 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]

  3. Ning Cao, Hyongki Lee, and H. C. Jung. Mathematical Framework for Phase-Triangulation Algorithms in Distributed-Scatterer Interferometry. IEEE Geoscience and Remote Sensing Letters, 12(9):1838-1842, Sept 2015. Keyword(s): geophysical techniques, mathematical analysis, maximum likelihood estimation, phase estimation, radar interferometry, DS interferometry procedure, coherence-weighted PT, distributed-scatterer interferometry, eigendecomposition-based phase estimator, equal-weighted PT, estimation procedure weight value, least square estimator, mathematical framework, mathematical relation analysis, maximum-likelihood phase estimator, modified PT algorithm, persistent-scatterer interferometry measurement point, phase-triangulation algorithm, published PT method, Coherence, Covariance matrices, Interferometry, Maximum likelihood estimation, Remote sensing, Synthetic aperture radar, Differential interferometric synthetic aperture radar (DInSAR), distributed scatterer (DS) interferometry, persistent scatterer (PS) interferometry (PSI), phase triangulation (PT), synthetic aperture radar (SAR). [Abstract] [bibtex-entry]

  4. L. Zhang, Z. Qiao, M. Xing, L. Yang, and Z. Bao. A Robust Motion Compensation Approach for UAV SAR Imagery. IEEE Trans. Geosci. Remote Sens., 50(8):3202-3218, August 2012. Keyword(s): autonomous aerial vehicles, geophysical image processing, geophysical techniques, maximum likelihood estimation, motion compensation, remote sensing by radar, synthetic aperture radar, robust motion compensation approach, UAV SAR imagery, unmanned aerial vehicle, synthetic aperture radar, remote sensing application, atmospheric turbulence, range invariant motion error, weighted phase gradient autofocus, nonsystematic range cell migration function, range dependent phase error, maximum likelihood WPGA algorithm, subaperture phase error, inertial navigation system, Electronics packaging, Estimation, Trajectory, Robustness, Navigation, Thyristors, Geometry, Local maximum-likelihood (LML), motion compensation (MOCO), phase gradient autofocus (PGA), synthetic aperture radar (SAR), unmanned aerial vehicle (UAV), weighted phase gradient autofocus (WPGA). [Abstract] [bibtex-entry]

  5. D. D'Aria, A. Ferretti, A.M. Guarnieri, and S. Tebaldini. SAR Calibration Aided by Permanent Scatterers. IEEE Trans. Geosci. Remote Sens., 48(4):2076-2086, April 2010. Keyword(s): SAR Processing, PSI, Persistent Scatterer Interferometry, Differential SAR Interferometry, C band spaceborne SAR, Ku band ground based SAR, PS based normalisation, SAR calibration, absolute calibrated devices, corner reflectors, interferometric SAR image stack, iterative maximum likelihood method, permanent scatterers, radiometric stability, repeated SAR acquisitions, stable targets, synthetic aperture radar, calibration, electromagnetic wave scattering, iterative methods, maximum likelihood estimation, radar interferometry, remote sensing by radar, spaceborne radar, synthetic aperture radar. [Abstract] [bibtex-entry]

  6. Andrea Monti-Guarnieri and Stefano Tebaldini. ML-Based Fringe-Frequency Estimation for InSAR. IEEE Geoscience and Remote Sensing Letters, 7(1):136-140, January 2010. Keyword(s): SAR Processing, InSAR, SAR Interferometry, ENVISAR, ASAR. [Abstract] [bibtex-entry]

  7. T. J. Schulz. Optimal Sharpness Function for SAR Autofocus. IEEE Signal Processing Letters, 14(1):27-30, January 2007. Keyword(s): error correction, error statistics, maximum likelihood estimation, radar imaging, synthetic aperture radar, image-domain sharpness function, autofocusing, phase-error correction, synthetic aperture radar imagery, SAR, optimization, statistical estimation, maximum-likelihood estimation, maximum-posterior estimation, intensity-squared sharpness, Layout, Phase estimation, Optimization methods, Synthetic aperture radar, Discrete Fourier transforms, Maximum likelihood estimation, Reflectivity, Error correction, Computer errors, Signal processing, MAP estimation, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]

  8. M. Eineder and N. Adam. A maximum-likelihood estimator to simultaneously unwrap, geocode, and fuse SAR interferograms from different viewing geometries into one digital elevation model. Geoscience and Remote Sensing, IEEE Transactions on, 43(1):24 - 36, jan. 2005. Keyword(s): SAR interferogram fusion, SAR interferogram geocoding, SAR interferogram unwrapping, SRTM, Shuttle Radar Topography Mission, critical phase-unwrapping, digital elevation model, geometric baseline error estimates, heterogeneous synthetic aperture radar interferograms, incidence angle, interferometric multiangle observations, interferometric multibaseline observations, map geometry, maximum-likelihood algorithm, maximum-likelihood estimation, periodic likelihood function, radar baseline, radar heading angle, radar wavelength, rugged terrain, scatterer height, terrain mapping, viewing geometries, geophysical signal processing, maximum likelihood estimation, radar signal processing, radiowave interferometry, remote sensing by radar, synthetic aperture radar, terrain mapping;. [Abstract] [bibtex-entry]

  9. Ciro Cafforio, Pietro Guccione, and Andrea Monti-Guarnieri. Doppler Centroid Estimation for ScanSAR Data. IEEE Transactions on Geoscience and Remote Sensing, 42(1):14-23, January 2004. Keyword(s): SAR Processing, Doppler Centroid, Doppler Centroid Estimation, Doppler Ambiguity Resolver, DAR, Clutterlock, Satellite SAR, RADARSAT 1, ENVISAT, ScanSAR. [Abstract] [bibtex-entry]

  10. 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, effective number of looks, filtering, interferometric SAR data, maximum-likelihood estimator, method of moments, 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]

  11. Lars M. H. Ulander. Radiometric slope correction of synthetic-aperture radar images. IEEE Transactions on Geoscience and Remote Sensing, 34(5):1115-1122, 1996. Keyword(s): SAR Processing, Radiometric Correction, Topography, geophysical techniques, radar imaging, remote sensing by radar, spaceborne radar, synthetic aperture radar, SAR, algorithm, calibration equation, fringe frequencies, geophysical measurement technique, land surface, maximum-likelihood estimator, radar imaging, radar remote sensing, radiometric slope correction, spaceborne radar, synthetic aperture radar image, terrain mapping, topographic height variation. [Abstract] [bibtex-entry]

  12. Charles V. Jakowatz and Daniel E. Wahl. Eigenvector method for maximum-likelihood estimation of phase errors in synthetic-aperture-radar imagery. J. Opt. Soc. Am. A, 10(12):2539-2546, 1993. Keyword(s): SAR Processing, Autofocus, Motion Compensation, MoComp, Residual Motion Errors, Airborne SAR, Phase Gradient Autofocus, PGA, Eigenvector Method, Maximum Likelihood Estimation. [bibtex-entry]

  13. Richard Bamler. Doppler Frequency Estimation and the Cramer-Rao Bound. IEEE Transactions on Geoscience and Remote Sensing, 29(3):385-390, May 1991. Keyword(s): SAR Processing, Doppler Centroid, Doppler Centroid Estimation, Cramer-Rao Bound, Correlation-Based Estimator, Maximum-Likelihood Estimator, Accuracy Comparison, Clutterlock. [Abstract] [bibtex-entry]

  14. 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, spectral analysis. [Abstract] [bibtex-entry]

  15. Earl R. Ferrara and Terry M. Parks. Direction finding with an array of antennas having diverse polarizations. IEEE Transactions on Antennas and Propagation, 31(2):231-236, March 1983. Keyword(s): SAR Processing, Antenna arrays, Estimation, Radio direction-finding, maximum-likelihood (ML) estimation, SAR Tomography, Tomography. [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 16:40:23 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .

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