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Publications about 'InSAR data'

Articles in journal or book chapters

  1. Xie Hu, Roland Burgmann, Eric J. Fielding, and Hyongki Lee. Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data. Remote Sensing of Environment, 251:112057, 2020. Keyword(s): SAR Processing, Slumgullion landslide, Kinematic boundaries, Geomorphologic features, UAVSAR, InSAR, DInSAR, Airborne SAR, L-band, Surface Displacements, Deformation. [Abstract] [bibtex-entry]


  2. F. Sica, G. Gobbi, Paola Rizzoli, and Lorrenzo Bruzzone. arphi-Net: Deep Residual Learning for InSAR Parameters Estimation. IEEE Transactions on Geoscience and Remote Sensing, pp 1-25, 2020. Keyword(s): Estimation, Synthetic aperture radar, Coherence, Noise reduction, Convolution, Measurement, Wavelet transforms, Coherence, convolutional neural network (CNN), deep learning (DL), denoising, interferometric phase, residual learning, synthetic aperture radar (SAR) interferometry.. [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. Heming Liao, Franz J. Meyer, Bernd Scheuchl, Jeremie Mouginot, Ian Joughin, and Eric Rignot. Ionospheric correction of InSAR data for accurate ice velocity measurement at polar regions. Remote Sensing of Environment, 209:166-180, 2018. Keyword(s): Synthetic aperture radar, SAR interferometry, Ice velocity, Range split spectrum, Data stacking, Ionosphere effect, Ionosphere correction. [Abstract] [bibtex-entry]


  5. Francesco Banda and Stefano Tebaldini. Texture-Free Absolute DEM Retrieval From Opposite-Side Multibaseline InSAR Data. IEEE Geosci. Remote Sens. Lett., PP(99):1-5, 2015. Keyword(s): SAR Processing, Multibaseline InSAR, Accuracy, Azimuth, Estimation, Laser radar, Radar tracking, Synthetic aperture radar, Tomography, Digital elevation model (DEM), radargrammetry, synthetic aperture radar interferometry (InSAR). [Abstract] [bibtex-entry]


  6. D. P. S. Bekaert, A. Hooper, and T. J. Wright. A spatially variable power law tropospheric correction technique for InSAR data. Journal of Geophysical Research: Solid Earth, 120(2):1345-1356, February 2015. Keyword(s): SAR Interferometry, Spatially-variable Correction, Power law model, Troposphere, APS, Estimation of APS, Atmospheric Phase Screen, Interferometry, Tropospheric Path Delay. [bibtex-entry]


  7. Michael Schmitt, Muhammad Shahzad, and Xiao Xiang Zhu. Reconstruction of individual trees from multi-aspect TomoSAR data. Remote Sensing of Environment, 165:175-185, 2015. Keyword(s): SAR Processing, SAR tomography, Synthetic aperture radar (SAR), Multi-aspect, Trees, 3D reconstruction, Forested areas, Point cloud segmentation. [Abstract] [bibtex-entry]


  8. Maciej J. Soja, H.J. Persson, and Lars M.H. Ulander. Estimation of Forest Biomass From Two-Level Model Inversion of Single-Pass InSAR Data. IEEE Trans. Geosci. Remote Sens., 53(9):5083-5099, September 2015. Keyword(s): data acquisition, digital elevation models, forestry, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation, AD 2008, AD 2010, AD 2011, AD 2012, AD 2013, InSAR processing, Krycklan feature, Remningstorp feature, Swedish test site, VV-polarized TanDEM-X acquisition, aboveground biomass estimation, biomass predictor, canopy density, digital terrain model, forest biomass estimation, forest height, hemiboreal forest, northern Sweden, single-pass InSAR data, single-pass interferometric synthetic aperture radar data, southern Sweden, two-level model inversion, Biological system modeling, Biomass, Computational modeling, Correlation, Decorrelation, Estimation, Synthetic aperture radar, Aboveground biomass (AGB), TanDEM-X (TDM), canopy density, forest height, interferometric model, interferometric syntheticaperture radar (InSAR), two-level model (TLM). [Abstract] [bibtex-entry]


  9. Ekaterina Tymofyeyeva and Yuri Fialko. Mitigation of atmospheric phase delays in InSAR data, with application to the eastern California shear zone. Journal of Geophysical Research: Solid Earth, 120(8):5952-5963, 2015. Note: 2015JB011886. Keyword(s): SAR Processing, Interferometry, SAR interferometry, differential SAR interferometry, DInSAR, Displacement, Surface Displacement, Atmosphere, APS, Transient deformation, Satellite geodesy: results, Satellite geodesy: technical issues, Seismic cycle related deformations, Integrations of techniques, InSAR, time series, atmospheric delays, transient deformation. [Abstract] [bibtex-entry]


  10. Christophe Magnard, Max Frioud, David Small, Torsten Brehm, Helmut Essen, and Erich Meier. Processing of MEMPHIS Ka-Band Multibaseline Interferometric SAR Data: From Raw Data to Digital Surface Models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(7):2927-2941, July 2014. Keyword(s): SAR Processing, SAR Interferometry, InSAR, Multibaseline Interferometry, Ka-band, Airborne SAR, Single-pass Multibaseline Interferometry, Focusing, Azimuth Focusing, Motion Compensation, data acquisition, geophysical image processing, image reconstruction, image resolution, millimetre wave radar, radar imaging, radar interferometry, radar polarimetry, radar resolution, synthetic aperture radar, DSM, MEMPHIS Ka-band multibaseline interferometric SAR data processing, SAR image resolution, azimuth focusing, cross-track multibaseline interferometric data acquisition, digital surface model, extended omega-K algorithm, interferogram generation, millimeter-wave synthetic aperture radar system, multibaseline antenna setup, observed depression angle-dependent interferometric phase error, phase unwrapping, phase-to-height conversion, reference ALS model, stepped-frequency SAR data reconstruction, Accuracy, Antennas, Azimuth, Chirp, Focusing, Motion compensation, Synthetic aperture radar, Digital surface model (DSM), Ka-band, MEMPHIS, interferometry, millimeter wave radar, multibaseline, stepped-frequency, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  11. F. Bovenga, V.M. Giacovazzo, A. Refice, and N. Veneziani. Multichromatic Analysis of InSAR Data. IEEE Trans. Geosci. Remote Sens., 51(9):4790-4799, September 2013. Keyword(s): SAR Processing, airborne radar, geophysical image processing, radar imaging, radar interferometry, remote sensing by radar, synthetic aperture radar, AES-1 airborne sensor, InSAR data multichromatic analysis, MCA absolute phase measurement, MCA experimental validation, MCA processing parameters, absolute optical path difference inference, central carrier frequency, height estimation performance, height information retrieval, interferometric SAR image pairs, parametric analysis, pixel phase trend, spatial phase unwrapping, wideband SAR single pass interferometric data set, Accuracy, Bandwidth, Distance measurement, Estimation, Noise, Synthetic aperture radar, Thyristors, synthetic aperture radar interferometry (InSAR). [Abstract] [bibtex-entry]


  12. Seung-Kuk Lee, Florian Kugler, Konstantinos P. Papathanassiou, and Irena Hajnsek. Quantification of Temporal Decorrelation Effects at L-Band for Polarimetric SAR Interferometry Applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3):1351-1367, June 2013. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, airborne radar, data acquisition, decorrelation, estimation theory, radar polarimetry, spaceborne radar, synthetic aperture radar, BioSAR 2007, L-band E-SAR repeat-pass data acquisition, Pol-InSAR forest parameter inversion, TempoSAR 2008, TempoSAR 2009, ground temporal decorrelation effect, height inversion error, interferometric repeat-pass mode, multibaseline Pol-InSAR data acquisition, polarimetric SAR interferometry application, quantitative estimation, rain-induced dielectric change, satellite airborne SAR system, temporal baseline estimation, time 10 min to 54 day, velocity 2 m/s, volume temporal decorrelation effect, Height inversion, polarimetric synthetic aperture radar interferometry (Pol-InSAR), temporal baseline, temporal decorrelation. [Abstract] [bibtex-entry]


  13. A. Rucci, A. Ferretti, A. Monti Guarnieri, and F. Rocca. Sentinel-1 SAR interferometry applications: The outlook for sub millimeter measurements. Remote Sensing of Environment, 120:156 - 163, 2012. Note: The Sentinel Missions - New Opportunities for Science. Keyword(s): Synthetic Aperture Radar (SAR), INSAR, Permanent scatterers, Ground deformation. [Abstract] [bibtex-entry]


  14. Dawei Liu, Guoqing Sun, Zhifeng Guo, K.J. Ranson, and Yang Du. Three-Dimensional Coherent Radar Backscatter Model and Simulations of Scattering Phase Center of Forest Canopies. IEEE Trans. Geosci. Remote Sens., 48(1):349-357, January 2010. Keyword(s): 3D coherent radar backscatter model, InSAR signals, SAR interferometric data, canopy height, canopy spatial structure, forest canopies, forest stand, forest structural parameters, ground surface backscattering, interferometric SAR, scattering phase center simulations, synthetic aperture radar, time delay, backscatter, geophysical signal processing, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation;. [Abstract] [bibtex-entry]


  15. Piyush Shanker Agram and Howard Zebker. Edgelist phase unwrapping algorithm for time series InSAR analysis. J. Opt. Soc. Am. A, 27(3):605-612, March 2010. Keyword(s): SAR Processing, Three-dimensional image processing, Interferometry, InSAR, SAR Interferometry, Synthetic aperture radar, Phase, Phase unwrapping. [Abstract] [bibtex-entry]


  16. Howard A. Zebker, Scott Hensley, Piyush Shanker Agram, and C. Wortham. Geodetically Accurate InSAR Data Processor. IEEE Trans. Geosci. Remote Sens., 48(12):4309-4321, December 2010. Keyword(s): SAR Processing, InSAR data processor, focus correction phase terms, image distortion, interferometric synthetic aperture radar, motion-compensation techniques, orbit tracking, radar echoes, radar interferometry, topography-corrected interferograms, motion compensation, radar interferometry, synthetic aperture radar;. [Abstract] [bibtex-entry]


  17. S. Sauer, L. Ferro-Famil, A. Reigber, and E. Pottier. Polarimetric Dual-Baseline InSAR Building Height Estimation at L-Band. IEEE Geoscience and Remote Sensing Letters, 6(3):408-412, July 2009. Keyword(s): SAR Procerssing, PolInSAR, Polarimetry, InSAR, SAR Interferometry, Dual-Baseline, Multi-baseline SAR, SAR Tomography, Tomography, ESAR, Airborne SAR, Building Height. [Abstract] [bibtex-entry]


  18. 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): 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]


  19. Noa B. D. Bechor and Howard A. Zebker. Measuring two-dimensional movements using a single InSAR pair. Geophysical Research Letters, 33(16):L16311 (1-5), 2006. Keyword(s): SAR Processing, ionospheric techniques, radar interferometry, synthetic aperture radar, azimuth shift, interferometric SAR ionosphere correction, ionospheric geometric distortion, Interferometry, Ionosphere, L-band, Synthetic aperture radar. [Abstract] [bibtex-entry]


  20. David A. Schmidt and Roland Bürgmann. Time-dependent land uplift and subsidence in the Santa Clara valley, California, from a large interferometric synthetic aperture radar data set. J. Geophys. Res., 108(B9):2416, September 2003. Keyword(s): SAR Processing, PSI, Persistent Scatterer Interferometry, Interferometry, SAR Interferometry, InSAR, Differential SAR Interferometry, DInSAR, Groundwater hydrology, Water supply, Physical Properties of Rocks, Permeability and porosity, Space geodetic surveys. [Abstract] [bibtex-entry]


  21. Curtis W. Chen and Howard A. Zebker. Phase unwrapping for large SAR interferograms: statistical segmentation and generalized network models. IEEE Trans. Geosci. Remote Sens., 40(8):1709-1719, August 2002. Keyword(s): SAR Processing, phase unwrapping, SNAPHU, geophysical signal processing, image segmentation, optimisation, radar imaging, radiowave interferometry, remote sensing by radar, statistical analysis, synthetic aperture radar, InSAR data, SNAPHU, a posteriori probability, central Alaska, full-size interferograrn, generalized network models, interferometric input data, interferometric synthetic aperture radar data, large SAR interferograms, network-flow, nonlinear solver, phase unwrapping, secondary optimization problem, statistical models, statistical segmentation, statistical-cost network-flow phase-unwrapping algorithm, tile-unwrapping stage, tiles, topographic interferogram, Algorithm design and analysis, Data analysis, Geophysics computing, Partitioning algorithms, Phase estimation, Probability, Synthetic aperture radar interferometry, Two dimensional displays. [Abstract] [bibtex-entry]


  22. Robert N. Treuhaft, Soren N. Madsen, Mahta Moghaddam, and Jakob van Zyl. Vegetation characteristics and underlying topography from interferometric radar. Radio Science, 31(6):1449-1485, 1996. Keyword(s): SAR Processing, InSAR, Interferometry, Vegetation Parameters, Parameter Extraction, Topography, SAR Tomography. [Abstract] [bibtex-entry]


Conference articles

  1. Paul A. Rosen, Scott Hensley, and Curtis Chen. Measurement and mitigation of the ionosphere in L-band Interferometric SAR data. In 2010 IEEE Radar Conference, pages 1459-1463, May 2010. Keyword(s): SAR Processing, cartography, image registration, ionosphere, ionospheric measuring apparatus, radar imaging, radar interferometry, synthetic aperture radar, ALOS PALSAR data, L-band InSAR data, PALSAR spectral band, bandwidth 28 MHz, deformation maps, differential TEC estimation, dispersive medium, earth changing surface, image registration, ionosphere measurement, ionosphere mitigation, multifrequency split-spectrum processing technique, nondispersive effects, pixel-by-pixel observation, radar waveform, relative phase change measurement, satellite-based repeat-pass interferometric synthetic aperture radar, split spectrum technique, subtle deformation signatures, synoptic high spatial resolution, Atmosphere, Atmospheric measurements, Delay effects, Dispersion, Earth, Ionosphere, L-band, Phase measurement, Spatial resolution, Synthetic aperture radar interferometry. [Abstract] [bibtex-entry]


  2. Fabrizio Lombardini, Ludwig Rössing, Joachim H. G. Ender, and F. Viviani. Towards a Complete Processing Chain of Multibaseline Airborne InSAR Data for Layover Scatterers Separation. In Urban Remote Sensing Joint Event, 2007, pages 1-6, April 2007. [Abstract] [bibtex-entry]


  3. Karlus A. Câmara de Macedo, Christian Andres, and Rolf Scheiber. On the requirements of SAR processing for airborne differential interferometry. In Proc. IEEE Int. Geosci. Remote Sens. Symp., volume 4, pages 2693-2696, July 2005. Keyword(s): SAR Processing, PTA-MoComp, Postprocessing, Motion Compensation, Topography-Based Motion Compensation, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, fast Fourier transform-based postprocessing methodology, FFT, D-InSAR, German Aerospace Center, DLR, airborne repeat-pass interferometry, differential interferometry, geometric fidelity, motion errors, phase accuracy, residual phase errors, topographic heights, Topography, DEM, Terrain, wide beamwidth, Airborne SAR, ESAR. [Abstract] [bibtex-entry]


  4. Francesco Holecz, Paolo Pasquali, João Moreira, and Daniel Nüesch. Rigorous radiometric calibration of airborne AeS-1 InSAR data. In IGARSS '98, Geoscience and Remote Sensing Symposium, volume 5, pages 2442-2444, 1998. Keyword(s): SAR Processing, Radiometry, Radiometric Calibration, Airborne SAR, Topography, Interferometry, calibration, geophysical techniques, remote sensing by radar, synthetic aperture radar, 9.6 GHz, AeS-1, InSAR, X-band, airborne radar, elevation data, geophysical measurement technique, interferometric SAR, land surface, radar remote sensing, radiometric calibration, synthetic aperture radar, terrain mapping, topographic data. [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: Mon Feb 1 16:40:10 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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