Publications about 'Differential interferometric synthetic aperture radar (DInSAR)'

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 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]



4. 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]



5. 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]



6. 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]



7. 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]



8. 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]

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