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Publications about 'Airborne DInSAR'

Articles in journal or book chapters

  1. Dieter Luebeck, Christian Wimmer, Laila F. Moreira, Marlon Alcantara, Oré Gian, Juliana A. Gós, Luciano P. Oliveira, Bárbara Teruel, Leonardo S. Bins, Lucas H. Gabrielli, and Hugo E. Hernandez-Figueroa. Drone-borne Differential SAR Interferometry. Remote Sensing, 12(5), 2020. [Abstract] [bibtex-entry]


  2. Ning Cao, Hyongki Lee, Evan Zaugg, R. Shrestha, W. Carter, C. Glennie, G. Wang, Z. Lu, and J. C. Fernandez-Diaz. Airborne DInSAR Results Using Time-Domain Backprojection Algorithm: A Case Study Over the Slumgullion Landslide in Colorado With Validation Using Spaceborne SAR, Airborne LiDAR, and Ground-Based Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(11):4987-5000, November 2017. Keyword(s): SAR Processing, Time-Domain Back-Projection, TDBP, Backprojection, Repeat-Pass Interferometry, SAR Interferometry, Displacement, Deformation Measurement, Aircraft, Interferometry, L-band, Spaceborne radar, Synthetic aperture radar, Terrain factors, Trajectory, Backprojection (BP), InSAR, SAR, differential synthetic aperture radar interferometry (DInSAR), landslide, motion compensation (MoCo), residual motion error (RME), Airborne SAR. [Abstract] [bibtex-entry]


  3. Brent G. Delbridge, Roland Bürgmann, Eric Fielding, Scott Hensley, and William H. Schulz. Three-dimensional surface deformation derived from airborne interferometric UAVSAR: Application to the Slumgullion Landslide. Journal of Geophysical Research: Solid Earth, 121(5):3951-3977, 2016. Keyword(s): SAR Processing, UAVSAR, landslide, Slumgullion, InSAR, geodesy, inversion, DInSAR, Airborne DInSAR, Surface Displacement, Deformation, Airborne SAR, L-band. [Abstract] [bibtex-entry]


  4. Karlus A. Câmara de Macedo, Christian Wimmer, T.L.M. Barreto, Dieter Lubeck, J.R. Moreira, L.M.L. Rabaco, and W.J. de Oliveira. Long-Term Airborne DInSAR Measurements at X- and P-Bands: A Case Study on the Application of Surveying Geohazard Threats to Pipelines. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(3):990-1005, June 2012. Keyword(s): SAR Processing, Deformation measurements, displacement measurements, DInSAR, differential interferometry, Airborne SAR, X-band, P-Band, OrbiSAR, Orbisat, BRADAR, geohazards, hazards, motion measurement, pipelines, radar interferometry, remote sensing by radar, surveying, synthetic aperture radar, time series, Brazil, OrbiSAR system, OrbiSat, P-band airborne DInSAR, PROTRAN, Petrobras, Sao Sebastiao, X-band airborne DInSAR, airborne DInSAR data, geodynamic processes, geohazard risk monitoring, geohazard risks, land movement measurement, long term airborne DInSAR measurements, pipeline geohazard threat surveying, pipeline structural damage, residual motion errors, time series analysis, Antenna measurements, Antennas, Global Positioning System, Interferometry, Pipelines, Radar tracking, Synthetic aperture radar, Airborne, P-band, X-band, differential interferometry (DInSAR), geohazards. [Abstract] [bibtex-entry]


  5. S. Perna, C. Wimmer, J. Moreira, and G. Fornaro. X-Band Airborne Differential Interferometry: Results of the OrbiSAR Campaign Over the Perugia Area. IEEE Trans. Geosci. Remote Sens., 46(2):489-503, February 2008. Keyword(s): SAR Processing, BFNT, Backward-Forward to the Nominale Track, Airborne SAR, D-InSAR, differential SAR interferometry, Interferometry, OrbiSAR, X-Band, Motion Compensation, Residual Motion Errors, Autofocus, airborne radar, motion compensation, radar imaging, synthetic aperture radar airborne SAR images, digital elevation model inaccuracies, motion compensation errors, phase errors. [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: Fri Feb 24 14:22:35 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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