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Publications about 'statistical test'

Articles in journal or book chapters

  1. Alessandra Budillon, Angel Caroline Johnsy, and Gilda Schirinzi. Extension of a Fast GLRT Algorithm to 5D SAR Tomography of Urban Areas. Remote Sensing, 9(8), 2017. Keyword(s): SAR Processing, SAR Tomography, radar detection, GLRT, Fast GLRT, deformation, PSI, persistent scatterer interferometry, displacement mapping, radar receivers, radar resolution, synthetic aperture radar, tomography, GLRT detector, ROC curve, SAR tomography, Sup-GLRT, elevation direction, generalized likelihood ratio test detector, multiple scatterer detection, nominal system resolution, nominal system super-resolution, receiver operating characteristic curve, signal sparsity, signal support detection operation, signal support estimation operation, signal-to-noise ratio, subspace energy measurement, synthetic aperture radar, Earth, Estimation, Signal resolution, Spatial resolution, Synthetic aperture radar, Tomography, Generalized likelihood ratio test (GLRT), radar detection, sparse signals, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  2. S. Zwieback, X. Liu, S. Antonova, B. Heim, A. Bartsch, J. Boike, and I. Hajnsek. A Statistical Test of Phase Closure to Detect Influences on DInSAR Deformation Estimates Besides Displacements and Decorrelation Noise: Two Case Studies in High-Latitude Regions. IEEE_J_GRS, 54(9):5588-5601, September 2016. Keyword(s): atmospheric precipitation, displacement measurement, geophysical techniques, radar interferometry, remote sensing by radar, snow, statistical analysis, synthetic aperture radar, DInSAR deformation estimates, Finland, Ku-band, Lena Delta, Russia, Sodankylä, X-band observations, decorrelation noise, differential interferometric synthetic aperture radar, high-latitude regions, ice-rich permafrost regions, phase measurement, snow metamorphism, statistical test, summer precipitation event, Decorrelation, Optical interferometry, Scattering, Snow, Synthetic aperture radar, Displacement measurement, interferometry, remote sensing, soil, statistics. [bibtex-entry]


  3. S. Zwieback and I. Hajnsek. Statistical Tests for Symmetries in Polarimetric Scattering Coherency Matrices. IEEE_J_GRSL, 11(1):308-312, January 2014. Keyword(s): airborne radar, covariance matrices, geophysical equipment, geophysical techniques, invariance, radar polarimetry, scattering, statistical testing, Freeman-Durden decomposition, SAR polarimetry, airborne L-band data, covariance matrix, likelihood-ratio testing, mature rape field, polarimetric scattering coherency matrix, reflection invariance hypothesis, reflection symmetry, second-order statistics, synthetic aperture radar polarimetry, vegetation growth, Parametric statistics, polarimetric synthetic aperture radar, radar remote sensing. [bibtex-entry]


  4. Yuanyuan Wang, Xiao Xiang Zhu, and Richard Bamler. Retrieval of phase history parameters from distributed scatterers in urban areas using very high resolution SAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 73(0):89 - 99, 2012. Keyword(s): SAR Processing, Interferometry, SAR Interferometry, InSAR, Persistent Scatterer Interferometry, PSI, Phase history, Distributed scatterer, Covariance matrix, TerraSAR-X, Spaceborne SAR. [Abstract] [bibtex-entry]


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Please note that access to full text PDF versions of papers is restricted to the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

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: Fri Feb 24 14:25:08 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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