Publications of Homa Ansari

Articles in journal or book chapters

1. Yasser Maghsoudi, Andrew J. Hooper, Tim J. Wright, Milan Lazecky, and Homa Ansari. Characterizing and correcting phase biases in short-term, multilooked interferograms. Remote Sensing of Environment, 275:113022, 2022. Keyword(s): InSAR, Phase bias, Fading signal, Correction, Closure Phase, SAR Interferometry, Radar interferometry, Time Series, Interferometric Stack, ground motion, deformation, subsidence, displacement, monitoring. [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. 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. Homa Ansari, Francesco De Zan, Alessandro Parizzi, Michael Eineder, Kanika Goel, and Nico Adam. Measuring 3-D Surface Motion With Future SAR Systems Based on Reflector Antennae. IEEE Geoscience and Remote Sensing Letters, 13(2):272-276, February 2016. Keyword(s): artificial satellites, radar interferometry, reflector antennas, remote sensing by radar, synthetic aperture radar, 3D surface motion measurement, SAR system, reflector antennae, interferometric synthetic aperture radar, 1D line-of-sight motion measurement, left-looking observation, right-looking observation, SAR acquisition mode, BiDiSAR, SuperSAR, electronic beam steering, squinted SAR geometry, satellite constellation, data processing, Synthetic aperture radar, Orbits, Geometry, Satellites, Motion measurement, Antenna measurements, Sensitivity, Azimuth shifts, error analysis, interferometric SAR (InSAR), SAR acquisition geometry, squinted SAR, 3-D surface motion, Azimuth shifts, error analysis, interferometric SAR (InSAR), SAR acquisition geometry, squinted SAR, 3-D surface motion. [Abstract] [bibtex-entry]

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.

This document was translated from BibT_EX by bibtex2html