Publications about 'differential interferometric synthetic aperture radar'

Articles in journal or book chapters

1. Michele Manunta and Yasir Muhammad. A Novel Algorithm Based on Compressive Sensing to Mitigate Phase Unwrapping Errors in Multitemporal DInSAR Approaches. IEEE Transactions on Geoscience and Remote Sensing, 60:1-20, 2022. [Abstract] [bibtex-entry]



2. Maria I. Navarro-Hernandez, Javier Valdes-Abellan, Roberto Tomas, Juan M. Lopez-Sanchez, Pablo Ezquerro, Guadalupe Bru, Roberta Boni, Claudia Meisina, and Gerardo Herrera. ValInSAR: A Systematic Approach for the Validation of Differential SAR Interferometry in Land Subsidence Areas. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15:3650-3671, 2022. Keyword(s): SAR Processing, Interferometry, SAR Interferometry, Persistent Scatterer Interferometry, PSI, Validation, reflector, deformation, displacement, ground motion. [Abstract] [bibtex-entry]



3. 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]



4. Ping He, Yangmao Wen, Caijun Xu, and Yunguo Chen. Complete three-dimensional near-field surface displacements from imaging geodesy techniques applied to the 2016 Kumamoto earthquake. Remote Sensing of Environment, 232:111321, 2019. Keyword(s): Imaging geodesy, Three-dimensional displacement, Kumamoto earthquake, SAR interferometry, Pixel offset tracking, LiDAR data. [Abstract] [bibtex-entry]



5. 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]



6. 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]



7. Ning Cao, Hyongki Lee, and H. C. Jung. A Phase-Decomposition-Based PSInSAR Processing Method. IEEE Transactions on Geoscience and Remote Sensing, 54(2):1074-1090, February 2016. Keyword(s): radar interferometry, synthetic aperture radar, coherence, distributed scatterer, eigendecomposition, measurement points, multiple scattering mechanisms, persistent scatterer network density, phase-decomposition-based persistent scatterer InSAR method, spatial density, Coherence, Covariance matrices, Decision support systems, Eigenvalues and eigenfunctions, Synthetic aperture radar, Urban areas, Differential interferometric synthetic aperture radar (DInSAR), distributed scatterer (DS) interferometry, persistent scatterer (PS) interferometry (PSI), synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



8. Michele Crosetto, Oriol Monserrat, Marìa Cuevas-González, Núria Devanthéry, and Bruno Crippa. Persistent Scatterer Interferometry: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 115:78-89, 2016. Note: Theme issue State-of-the-art in photogrammetry, remote sensing and spatial information science. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, Remote sensing, Radar, SAR, Monitoring, Deformation. [Abstract] [bibtex-entry]



9. 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]



10. 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]



11. Gianfranco Fornaro, Nicola D'Agostino, Roberta Giuliani, Carlo Noviello, Diego Reale, and Simona Verde. Assimilation of GPS-Derived Atmospheric Propagation Delay in DInSAR Data Processing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2):784-799, 2015. Keyword(s): SAR Interferometry, Spatially-variable Correction, Power law model, Troposphere, APS, Estimation of APS, Atmospheric Phase Screen, Interferometry, Tropospheric Path Delay. [Abstract] [bibtex-entry]



12. Ruben Iglesias and Jordi J. Mallorqui. Side-Lobe Cancelation in DInSAR Pixel Selection With SVA. IEEE Geosci. Remote Sens. Lett., 10(4):667-671, 2013. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, DInSAR, Differential Interferometry, geophysical image processing, geophysical techniques, image enhancement, radar imaging, synthetic aperture radar, DInSAR pixel selection algorithm, SAR images, SAR systems, SVA filtering, amplitude stability, bidimensional sinc function shape, complex data, complex scattering scenarios, cosine-on-pedestal weighting functions, differential interferometric synthetic aperture radar, nonlinear filter, original image resolution, pixel cluster, pixel position, point spread function, resolution enhancement, side-lobe cancelation, single cell, spatially variant apodization, strong scatterer main lobe, strong scatterer side lobe, synthetic aperture radar, total side-lobe cancelation, Azimuth, Dispersion, Image resolution, Indexes, Interferometry, Standards, Synthetic aperture radar, Differential interferometric synthetic aperture radar (SAR) (DInSAR), SAR, interferometry, spatially variant apodization (SVA). [Abstract] [bibtex-entry]



13. K. Morrison, J. C. Bennett, and M. Nolan. Using DInSAR to Separate Surface and Subsurface Features. IEEE_J_GRS, 51(6):3424-3430, June 2013. Keyword(s): radar imaging, radar interferometry, soil, synthetic aperture radar, C-band VV SAR images, DInSAR scheme, Ground-Based SAR Microwave Measurement Facility, SAR DInSAR, airborne platform, differential interferometric synthetic aperture radar, drying soil, moisture content, phase soil moisture, signal phase record, soil dielectric properties, spaceborne platform, volumetric soil moisture, Radar imaging, Soil measurements, Soil moisture, Spaceborne radar, Synthetic aperture radar, Dielectric materials, ground-penetrating radar, moisture measurement, permittivity measurement, radar signal analysis, radar signature, soil measurements, synthetic aperture imaging, synthetic aperture radar (SAR). [bibtex-entry]



14. Gianfranco Fornaro, Diego Reale, and Simona Verde. Potential of SAR for monitoring transportation infrastructures: an analysis with the multi-dimensional imaging technique. Journal of Geophysics and Engineering, 9(4):S1, 2012. Keyword(s): SAR Processing, SAR interferometry, Interferometry, differential interferometry, InSAR, DInSAR, Persistent Scatterer Interferometry, PSI, SAR Tomography, Tomography, Spaceborne SAR, TerraSAR-X, X-band. [Abstract] [bibtex-entry]



15. G. Fornaro, A. Pauciullo, and D. Reale. A Null-Space Method for the Phase Unwrapping of Multitemporal SAR Interferometric Stacks. IEEE Transactions on Geoscience and Remote Sensing, 49(6):2323-2334, June 2011. Keyword(s): SAR Processing, DInSAR, SAR Interferometry, Phase unwrapping, 2-D azimuth-range domain, Earth surface displacement, MCF algorithm, data analysis, full 3-D unwrapping method, interferogram generation scheme, interferogram spatial structure, multitemporal SAR interferometric stack analysis, multitemporal differential interferometric synthetic aperture radar analysis, null-space method, optimization technique, phase unwrapping method, spatial baseline domain, time series, unrestricted phase signal reconstruction, data analysis, geophysical techniques, radar interferometry, synthetic aperture radar, time series, topography (Earth). [Abstract] [bibtex-entry]



16. A. Refice, A. Belmonte, F. Bovenga, and G. Pasquariello. On the Use of Anisotropic Covariance Models in Estimating Atmospheric DInSAR Contributions. IEEE Geoscience and Remote Sensing Letters, 8(2):341-345, March 2011. Keyword(s): DInSAR techniques, anisotropic atmospheric signals, anisotropic covariance models, atmospheric phase delays, atmospheric phase estimation, atmospheric phase screen field, automated methods, computational cost, correlation function parameters, critical sampling conditions, differential interferometric synthetic aperture radar data, kriging reconstruction approaches, persistent scatterer interferometry, sampling density, sparse-grid point-target DInSAR applications, spatial structure, stochastic models, synthetic aperture radar interferograms, atmospheric techniques, radar interferometry, stochastic processes, synthetic aperture radar;. [Abstract] [bibtex-entry]



17. M. Nolan and D. R. Fatland. Penetration depth as a DInSAR observable and proxy for soil moisture. IEEE_J_GRS, 41(3):532-537, March 2003. Keyword(s): ground penetrating radar, moisture measurement, radiowave interferometry, remote sensing by radar, soil, synthetic aperture radar, C-band, L-band, X-band, agriculture, attenuation, clay rich soils, clay swelling, deformation signals, differential interferometric synthetic aperture radar, digital elevation models, microwave penetration depth, remote sensing, soil moisture, surface deformation, synthetic aperture radar microwaves, terrain mapping, volumetric water content, Interferometry, Microwave theory and techniques, Moisture measurement, Radar detection, Remote sensing, Soil measurements, Soil moisture, Surface topography, Synthetic aperture radar. [bibtex-entry]

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