Publications about 'InSAR time series'

Articles in journal or book chapters

1. Fengming Hu, Freek J. van Leijen, Ling Chang, Jicang Wu, and Ramon F. Hanssen. Combined Detection of Surface Changes and Deformation Anomalies Using Amplitude-Augmented Recursive InSAR Time Series. IEEE Transactions on Geoscience and Remote Sensing, 60:1-16, 2022. Keyword(s): PSI, Deformation, Persistent Scatterer Interferometry. [Abstract] [bibtex-entry]



2. 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]



3. M. Dalaison and R. Jolivet. A Kalman Filter Time Series Analysis Method for InSAR. Journal of Geophysical Research: Solid Earth, 125(7):e2019JB019150, 2020. Note: E2019JB019150 10.1029/2019JB019150. [Abstract] [bibtex-entry]



4. 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]



5. P. S. Agram and M. Simons. A noise model for InSAR time series. Journal of Geophysical Research: Solid Earth, 120(4):2752-2771, 2015. Keyword(s): SAR Processing, InSAR, radar, interferometry, noise budget, time series, stacking, interferometric stacks. [Abstract] [bibtex-entry]



6. TR Walter, Manoochehr Shirzaei, A Manconi, G Solaro, A Pepe, M Manzo, and E Sansosti. Possible coupling of Campi Flegrei and Vesuvius as revealed by InSAR time series, correlation analysis and time dependent modeling. Journal of Volcanology and Geothermal Research, 280:104-110, 2014. [bibtex-entry]



7. Yajing Yan, M.P. Doin, P. Lopez-Quiroz, F. Tupin, B. Fruneau, V. Pinel, and E. Trouve. Mexico City Subsidence Measured by InSAR Time Series: Joint Analysis Using PS and SBAS Approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(4):1312-1326, August 2012. Keyword(s): AD 2002 11 to 2007 03, ENVISAT images, Gamma-IPTA chain, InSAR time series, Mexico City subsidence rate, adhoc SBAS approach, ground displacement rates, high-pass filtered difference maps, joint analysis method, low-pass filtered difference maps, multitemporal InSAR processing, permanent scatterer approach, small baseline subset approach, subsidence measurement method, subsidence pattern, subsoil compaction analysis, surface drying process, compaction, feature extraction, geophysical image processing, geophysical techniques, high-pass filters, low-pass filters, radar interferometry, soil, synthetic aperture radar, time series;. [Abstract] [bibtex-entry]



8. M. C. Cuenca, A. J. Hooper, and Ramon F. Hanssen. A New Method for Temporal Phase Unwrapping of Persistent Scatterers InSAR Time Series. IEEE Trans. Geosci. Remote Sens., 49(11):4606-4615, November 2011. Keyword(s): Bayesian theory, InSAR time series, Southern Netherlands, persistent scatterer technique, probability density function, radar time series, spatially correlated information, temporal algorithm, temporal phase unwrapping, Bayes methods, geophysical image processing, radar imaging, radar interferometry, spatiotemporal phenomena, synthetic aperture radar, time series;. [Abstract] [bibtex-entry]



9. Manoochehr Shirzaei, TR Walter, HR Nankali, and EP Holohan. Gravity-driven deformation of Damavand volcano, Iran, detected through InSAR time series. Geology, 39(3):251-254, 2011. [bibtex-entry]



10. A. Ferretti, G. Savio, R. Barzaghi, A. Borghi, S. Musazzi, F. Novali, C. Prati, and F. Rocca. Submillimeter Accuracy of InSAR Time Series: Experimental Validation. IEEE Trans. Geosci. Remote Sens., 45(5):1142-1153, May 2007. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, Validation, reflector, deformation, displacement, ground motion, Envisat acquisition, GPS data, InSAR time series, Radarsat acquisition, dihedral reflectors, interferometric synthetic aperture radar, submillimeter accuracy, radar interferometry, remote sensing by radar, synthetic aperture radar, time series. [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.

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