Publications about 'correlation coefficient'

Articles in journal or book chapters

  1. Karina Wilgan, Muhammad Adnan Siddique, Tazio Strozzi, Alain Geiger, and Othmar Frey. Comparison of Tropospheric Path Delay Estimates from GNSS and Space-Borne SAR Interferometry in Alpine Conditions. Remote Sensing, 11(15):1-24, July 2019. Note: 1789. Keyword(s): SAR Processing, persistent scatterer interferometry, PSI, DInSAR, multibaseline interferometry, interferometric stacking, deformation monitoring, subsidence monitoring, urban, urban remote sensing, buildings, estimation, remote sensing, synthetic aperture radar, thermal expansion, tomography, urban areas, alpine, rugged terrain, atmospheric phase, atmospheric phase screen, APS, mitigation of atmospheric phase, turbulent atmospheric phase in alpine areas, Cosmo-SkyMed, Zermatt, Mattertal, Matter valley, Switzerland, interferometric stacking, multi-baseline interferometry, GNSS, GPS, Comparison, tropospheric path delay, Collocation, Kriging. [Abstract] [bibtex-entry]

  2. Elvira Musico, Claudio Cesaroni, Luca Spogli, John P. Merryman Boncori, De Franceschi Giorgiana, and Roberto Seu. The Total Electron Content From InSAR and GNSS: A Midlatitude Study. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(5):1725-1733, May 2018. Keyword(s): SAR Processing, Ionosphere, Global Positioning System, atmospheric techniques, radar interferometry, rain, remote sensing by radar, satellite navigation, synthetic aperture radar, ALOS-PALSAR, GNSS experimental measurements, GNSS receivers, InSAR images, L-band InSAR, RING network, Rete Integrata Nazionale GPS network, TEC variability, advanced land observing satellite, array type L-band synthetic aperture radar, correlation coefficient, dense network, global navigation satellite system receivers, interferometric phase, interferometric synthetic aperture radar, ionospheric information, midlatitude study, night-time case studies, reference true ionospheric TEC, total electron content, tropospheric contribution, Azimuth, Correlation, Earth, Global navigation satellite system, Ionosphere, Receivers, Synthetic aperture radar, Global positioning system, ionosphere, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]

  3. Marivi Tello-Alonso, Victor Cazcarra-Bes, Matteo Pardini, and K. Papathanassiou. Forest Structure Characterization From SAR Tomography at L-Band. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(10):3402-3414, October 2018. Keyword(s): SAR Processing, SAR Tomography, forestry, optical radar, radar imaging, radar interferometry, radar polarimetry, remote sensing by laser beam, remote sensing by radar, synthetic aperture radar, vegetation mapping, 3-D forest monitoring, radar reflectivity, physical forest structure, tomographic SAR data, vertical structure index, inventory data, spatial distribution, experimental tomographic L-band data, vertical structure indices, vertical profiles, forest structure indices, forest structure characterization, SAR tomography, synthetic aperture radar remote sensing configurations, high spatial resolution, temporal resolution, tomographic SAR techniques, correlation coefficients, Forestry, Vegetation, Synthetic aperture radar, Tomography, Indexes, L-band, Forest structure, synthetic aperture radar, tomography. [Abstract] [bibtex-entry]

  4. Maciej J. Soja, H. Persson, and Lars M. H. Ulander. Estimation of Forest Height and Canopy Density From a Single InSAR Correlation Coefficient. IEEE Geosci. Remote Sens. Lett., 12(3):646-650, March 2015. Keyword(s): digital elevation models, geophysical image processing, parameter estimation, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping, AD 2011 to 2013, VV-polarized bistatic-interferometric TanDEM-X image pairs, canopy density, forest height estimation, hemiboreal test site Remningstorp, high-resolution digital terrain model, single InSAR correlation coefficient, southern Sweden, synthetic aperture radar, two-level model, vegetation, Backscatter, Coherence, Laser radar, Remote sensing, Synthetic aperture radar, Time division multiplexing, Vegetation, Canopy density, TanDEM-X, forest height, interferometric model, interferometry, synthetic aperture radar (SAR), two-level model (TLM). [Abstract] [bibtex-entry]

  5. Zhu Zhengwei and Zhou Jianjiang. Optimum selection of common master image for ground deformation monitoring based on PS-DInSAR technique. Systems Engineering and Electronics, Journal of, 20(6):1213 -1220, December 2009. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, SAR Interferometry, InSAR, DInSAR. [Abstract] [bibtex-entry]

  6. Jong-Sen Lee, Shane R. Cloude, Konstantinos P. Papathanassiou, M. R. Grunes, and I. H. Woodhouse. Speckle filtering and coherence estimation of polarimetric SAR interferometry data for forest applications. IEEE Trans. Geosci. Remote Sens., 41(10):2254-2263, October 2003. Keyword(s): SAR Processing, Forest, Forest parameters, biomass, averaging, boxcar filter, coherence estimation, forest applications, forest heights, ground topography, interferometric coherence, neighboring pixels, polarimetric SAR interferometry data, polarimetric interferometry matrix, polarimetric synthetic aperture radar interferometry, random volume, scattering characteristics, speckle filtering, adaptive filters, forestry, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, speckle, synthetic aperture radar. [Abstract] [bibtex-entry]

  7. 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]

  8. K. Sarabandi and Y.-C. Lin. Simulation of interferometric SAR response for characterizing the scattering phase center statistics of forest canopies. IEEE Trans. Geosci. Remote Sens., 38(1):115-125, January 2000. Keyword(s): InSAR, Monte Carlo simulation, SAR, backscatter, coherent scattering model, equivalent scatterer, forest, forest canopy, forestry, fractal, geophysical measurement technique, interferometric SAR, physical parameters, radar remote sensing, radar theory, scatterer collection, scattering phase center statistics, simulation, synthetic aperture radar, vegetation mapping, Monte Carlo methods, backscatter, forestry, fractals, geophysical techniques, radar cross-sections, radar theory, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]

  9. Frank Wong and Ian G. Cumming. A Combined SAR Doppler Centroid Estimation Scheme Based Upon Signal Phase. IEEE Transactions on Geoscience and Remote Sensing, 34(3):696-707, May 1996. Keyword(s): SAR Processing, Doppler Centroid, Doppler Centroid Estimation, Multilook Cross Correlation, MLCC, Multilook Beat Frequency, MLBF, Clutterlock, Doppler Ambiguity Resolver, DAR. [Abstract] [bibtex-entry]

  10. Jong-Sen Lee, K. W. Hoppel, S. A. Mango, and A. R. Miller. Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery. IEEE Trans. Geosci. Remote Sens., 32(5):1017-1028, September 1994. Keyword(s): feature extraction, geophysical techniques, geophysics computing, image coding, image recognition, remote sensing by radar, synthetic aperture radar, complex correlation coefficient, data compression, decorrelation effects, feature classification, feature extraction, geophysical measurement technique, image classification, intensity statistics, interferometric SAR imagery, land surface imaging, multilook phase difference, multilook polarimetry, phase statistics, probability density function, radar remote sensing, scattering matrix, signal processing, speckle reduction, synthetic aperture radar, Covariance matrix, Decorrelation, Density functional theory, NASA, Phase measurement, Radar polarimetry, Radar scattering, Sea measurements, Speckle, Statistics. [Abstract] [bibtex-entry]

  11. Shaun Quegan. A unified algorithm for phase and cross-talk calibration of polarimetric data-theory and observations. IEEE Trans. Geosci. Remote Sens., 32(1):89-99, January 1994. Keyword(s): SAR Processing, Polarimetry, Polarimetric Calibration, calibration, geophysical techniques, polarimetry, remote sensing, remote sensing by radar, MAESTRO campaign, agriculture, cross-polarized backscattering coefficient, cross-talk calibration, geophysical measurement technique, land surface SAR radar imaging, linear distortion model, minimum least squares, observation, phase, polarimetry, polarisation, scattering matrix, synthetic aperture radar, theory, unified algorithm, Backscatter, Calibration, Covariance matrix, Crosstalk, Data mining, Equations, Layout, Phase distortion, Scattering, System testing. [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 16:39:29 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .

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