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Publications about 'time-series analysis;'

Articles in journal or book chapters

  1. Yujie Zheng, Heresh Fattahi, Piyush Agram, Mark Simons, and Paul Rosen. On Closure Phase and Systematic Bias in Multilooked SAR Interferometry. IEEE Transactions on Geoscience and Remote Sensing, 60:1-11, 2022. Keyword(s): SAR Processing, SAR Interferometry, Interferometry, InSAR, time-series analysis, closure phase, non-zero closure phase, phase consistency, systematic bias, deformation, displacement, multilooking, SBAS, PSI, persistent scatterer intereferometry, SqueeSAR. [Abstract] [bibtex-entry]


  2. Homa Ansari, Francesco De Zan, and Alessandro Parizzi. Study of Systematic Bias in Measuring Surface Deformation With SAR Interferometry. IEEE Trans. Geosci. Remote Sens., 59(2):1285-1301, February 2021. Keyword(s): SAR Processing, SAR Interferometry, Time Series, Surface Displacement, Deformation, radar imaging, radar interferometry, remote sensing by radar, synthetic aperture radar, short temporal baseline interferograms, Earth surface deformation, SAR time series, mentioned phase component, biasing impact, quality measure, fading signal, physical signal, modern SAR missions, deformation bias, efficient deformation-signal retrieval, accurate deformation-signal retrieval, multilooked interferograms, systematic bias, measuring surface deformation, SAR interferometry, interferometric signal, multilooked synthetic aperture radar interferograms, atmospheric Earth-surface topography changes, stochastic noise, temporal decorrelation, systematic phase component, Big Data, deformation estimation, differential interferometric synthetic aperture radar, SAR, DInSAR, distributed scatterers, DS, error analysis, near real-time processing, NRT, phase inconsistencies, signal decorrelation, time-series analysis. [Abstract] [bibtex-entry]


  3. 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]


  4. Urs Wegmuller, Charles Werner, Othmar Frey, Christophe Magnard, and Tazio Strozzi. Reformulating the Split-Spectrum Method to Facilitate the Estimation and Compensation of the Ionospheric Phase in SAR Interferograms. Procedia Computer Science, pp 318-325, 2018. Keyword(s): SAR Processing, Ionosphere, Ionospheric Path Delay, split-beam interferometry, SBI, ionospheric electromagnetic wave propagation, ionospheric techniques, radar interferometry, remote sensing by radar, split beam interferograms, along track ground displacement estimation, azimuth spectrum band pass filtering, directional scattering identification, ionospheric path delay estimation, long baseline pair coherence estimation, split beam interferometry, Azimuth, Band pass filters, Coherence, Delay, Ionosphere, Time series analysis. [bibtex-entry]


  5. 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]


  6. Karlus A. Cāmara de Macedo, Christian Wimmer, T.L.M. Barreto, Dieter Lubeck, J.R. Moreira, L.M.L. Rabaco, and W.J. de Oliveira. Long-Term Airborne DInSAR Measurements at X- and P-Bands: A Case Study on the Application of Surveying Geohazard Threats to Pipelines. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(3):990-1005, June 2012. Keyword(s): SAR Processing, Deformation measurements, displacement measurements, DInSAR, differential interferometry, Airborne SAR, X-band, P-Band, OrbiSAR, Orbisat, BRADAR, geohazards, hazards, motion measurement, pipelines, radar interferometry, remote sensing by radar, surveying, synthetic aperture radar, time series, Brazil, OrbiSAR system, OrbiSat, P-band airborne DInSAR, PROTRAN, Petrobras, Sao Sebastiao, X-band airborne DInSAR, airborne DInSAR data, geodynamic processes, geohazard risk monitoring, geohazard risks, land movement measurement, long term airborne DInSAR measurements, pipeline geohazard threat surveying, pipeline structural damage, residual motion errors, time series analysis, Antenna measurements, Antennas, Global Positioning System, Interferometry, Pipelines, Radar tracking, Synthetic aperture radar, Airborne, P-band, X-band, differential interferometry (DInSAR), geohazards. [Abstract] [bibtex-entry]


  7. D. Perissin and Teng Wang. Repeat-Pass SAR Interferometry With Partially Coherent Targets. IEEE Trans. Geosci. Remote Sens., 50(1):271-280, January 2012. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, SAR Interferometry, InSAR, DInSAR, Interferometry, Coherence, Decorrelation, Dispersion, Indexes, Noise, Pixel, Spatial coherence, displacement measurement, electromagnetic wave scattering, feature extraction, radar imaging, radar interferometry, radar target recognition, spaceborne radar, synthetic aperture radar, 3D location estimation, PS technique, SAR images, SAR interferometry, displacement estimation, electromagnetic signature, extraurban areas, information extraction, multitemporal analysis, partially coherent targets, permanent scatterer technique, radar imaging, spaceborne radar, synthetic aperture radar, Deformation monitoring, digital elevation models (DEMs), synthetic aperture radar interferometry (InSAR), time-series analysis;. [Abstract] [bibtex-entry]


  8. Daniele Perissin and Teng Wang. Time-Series InSAR Applications Over Urban Areas in China. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 4(1):92-100, March 2011. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, SAR Interferometry, InSAR, DInSAR, Interferometry, geomorphology, radar interferometry, remote sensing by radar, synthetic aperture radar, terrain mapping, time series, Badong, Dragon project, European Space Agency, NRSCC, National Remote Sensing Center of China, PS-InSAR, Permanent Scatterers, Quasi-PS InSAR, SAR interferometry, Shanghai, Three Gorges Dam, Tianjin, big man-made structures, cities growth, coherent-uncoherent analysis, landslide monitoring, subsidence monitoring, terrain movement, time-series InSAR, urban areas, urban development, Synthetic aperture radar interferometry (InSAR), Three Gorges Project (TGP), time-series analysis, urban development;. [Abstract] [bibtex-entry]


  9. E. Sansosti, F. Casu, M. Manzo, and R. Lanari. Space-borne radar interferometry techniques for the generation of deformation time series: An advanced tool for Earth's surface displacement analysis. Geophys. Res. Lett., 37(20):L20305, October 2010. Keyword(s): SAR Processing, PSI, Persistent Scatterer Interferometry, Interferometry, SAR Interferometry, InSAR, Differential SAR Interferometry, ground deformation time series, DInSAR, remote sensing, Mathematical Geophysics, Time series analysis, Remote sensing, Satellite geodesy. [Abstract] [bibtex-entry]


Conference articles

  1. Urs Wegmuller, Tazio Strozzi, and Charles Werner. Ionospheric path delay estimation using split-beam interferometry. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 3631-3634, July 2012. Keyword(s): SAR Processing, Ionosphere, Ionospheric Path Delay, split-beam interferometry, SBI, ionospheric electromagnetic wave propagation, ionospheric techniques, radar interferometry, remote sensing by radar, L-band split beam interferograms, along track ground displacement estimation, azimuth spectrum band pass filtering, directional scattering identification, ionospheric path delay estimation, long baseline pair coherence estimation, split beam interferometry, Azimuth, Band pass filters, Coherence, Delay, Ionosphere, L-band, Time series analysis, Split-beam interferometry, ionosphere, ionospheric path delay. [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: Fri Feb 24 14:25:22 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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