Publications about 'temporal baseline'

Articles in journal or book chapters

  1. Angelique Benoit, Beatrice Pinel-Puyssegur, Romain Jolivet, and Cecile Lasserre. CorPhU: an algorithm based on phase closure for the correction of unwrapping errors in SAR interferometry. Geophysical Journal International, 221(3):1959-1970, 03 2020. [Abstract] [bibtex-entry]

  2. Jorge Jorge Ruiz, Risto Vehmas, Juha Lemmetyinen, Josu Uusitalo, Janne Lahtinen, Kari Lehtinen, Anna Kontu, Kimmo Rautiainen, Riku Tarvainen, Jouni Pulliainen, and Jaan Praks. SodSAR: A Tower-Based 1-10 GHz SAR System for Snow, Soil and Vegetation Studies. Sensors, 20(22), 2020. [Abstract] [bibtex-entry]

  3. Gianfranco Fornaro, Simona Verde, Diego Reale, and Antonio Pauciullo. CAESAR: An Approach Based on Covariance Matrix Decomposition to Improve Multibaseline - Multitemporal Interferometric SAR Processing. IEEE Trans. Geosci. Remote Sens., 53(4):2050-2065, April 2015. Keyword(s): SAR Processing, SAR Tomography, Component Extraction And selection SAR, CEASAR, Spaceborne SAR, multilook SAR tomography, X-Band, Urban, Persistent Scatterer Interferometry, PSI, covariance matrices, geophysical signal processing, matrix decomposition, principal component analysis, radar interferometry, radar signal processing, remote sensing by radar, synthetic aperture radar, tomography, CAESAR, Component Extraction and Selection SAR algorithm, SAR tomography, SqueeSAR, classical interferometric processing, coherence losses, covariance matrix analysis, covariance matrix decomposition, data covariance matrix, equivalent scattering mechanisms, ground deformation monitoring, high resolution Cosmo-SkyMed data, high resolution interferometric SAR sensors, interferometic stac filtering, multibaseline-multitemporal interferometric SAR processing, multilook operation, multiple scatterers, principal component analysis, synthetic aperture radar, Covariance matrices, Interferometry, Monitoring, Scattering, Spatial resolution, Synthetic aperture radar, Tomography, 3-D, 4-D and multidimensional (Multi-D) SAR imaging, Covariance matrix decomposition, SAR interferometry (InSAR), SAR tomography. [Abstract] [bibtex-entry]

  4. 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]

  5. Esteban Aguilera, Matteo Nannini, and Andreas Reigber. Multisignal Compressed Sensing for Polarimetric SAR Tomography. IEEE Geosci. Remote Sens. Lett., 5(9):871-875, September 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressed sensing, Remote sensing, Sensors, Tomography, Vectors, compressed sensing, compressive sensing, CS, geometry, image reconstruction, image sensors, radar imaging, radar polarimetry, synthetic aperture radar, tomography, 3D imaging, DCS, E-SAR sensor, German Aerospace Center, azimuth-range pixel, data collection processing, distributed compressed sensing, multisignal compressed sensing, parallel track, polarimetric L-band data, polarimetric SAR sensor, polarimetric SAR tomography, polarimetric channel, polarimetric synthetic aperture radar sensor, repeat-pass acquisition geometry, signal reconstruction, temporal baseline, tomographic signal, vertical reflectivity function, Compressed sensing (CS), distributed compressed sensing (DCS), polarimetry, synthetic aperture radar (SAR) tomography, L-band, E-SAR, F-SAR. [Abstract] [bibtex-entry]

  6. Karlus A. Cāmara 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]

  7. Lorenzo Iannini and Andrea Monti Guarnieri. Atmospheric Phase Screen in Ground-Based Radar: Statistics and Compensation. IEEE Geoscience and Remote Sensing Letters, 8(3):537-541, May 2011. Keyword(s): atmospheric electromagnetic wave propagation, atmospheric humidity, atmospheric pressure, atmospheric techniques, atmospheric temperature, radiowave propagation, remote sensing by radar, APS removal, Bolzano, Italy, atmospheric humidity, atmospheric phase screen evaluation, atmospheric phase screen removal, atmospheric pressure, atmospheric temperature, compensation approach, ground based radar, initial calibration step, meteorological parameters, time varying delay statistics, Atmospheric modeling, Calibration, Coherence, Delay, Humidity, Radar, Refractive index, Atmospheric artifact compensation, differential interferometry, ground-based radar (GB-RADAR). [Abstract] [bibtex-entry]

  8. Stefano Tebaldini and Andrea Monti Guarnieri. Methods and Performances for Multi-Pass SAR Interferometry, chapter 18, pages 329-356. InTech, 2010. Keyword(s): SAR Processing, Modelling Interferogram Stacks, PSI, Persistent Scatterer Interferometry, Differential SAR Interferometry, D-InSAR, InSAR, SAR Interferometry, Interferometry, Decorrelation, Temporal Decorrelation, C-band measurement, DInSAR, ERS-1 data, Italy, Rome, agricultural areas, differential interferometric SAR, distributed targets, geometrical decorrelation, interferogram stack modeling, permanent scatterers, progressive ground motion, progressively decorrelating targets, sinusoidal ground motion, synthetic aperture radar interferometry, temporal decorrelation, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]

  9. Meng Wei and David T. Sandwell. Decorrelation of L-Band and C-Band Interferometry Over Vegetated Areas in California. IEEE Trans. Geosci. Remote Sens., 48(7):2942-2952, July 2010. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Earth crust, faulting, geomorphology, radar interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping, C-band European Remote Sensing Satellite interferograms, Coast Range area, ERS interferogram, Imperial Valley, L-band Advanced Land Observation Satellite interferograms, Northern California forests, Parkfleld, San Andreas Fault system, Southern California, crustal deformation, decorrelation behavior, decorrelation time, fault creep, interferometric synthetic aperture radar, interseismic deformation, local uplifting signal, near-fault interseismic deformation, sandy surfaces, seasonal acquisitions, signal-to-noise ratio, spatial baseline, spatial baseline lost correlation, temporal baseline, temporal baseline lost correlation, vegetated areas, Correlation, crustal deformation, interferometry, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]

  10. Zhu Zhengwei and Zhou Jianjiang. Optimum selection of common master image for ground deformation monitoring based on PS-DInSAR technique. Systems Engineering and Electronics, Journal of, 20(6):1213 -1220, December 2009. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, SAR Interferometry, InSAR, DInSAR. [Abstract] [bibtex-entry]

  11. L. Noferini, M. Pieraccini, D. Mecatti, G. Luzi, C. Atzeni, A. Tamburini, and M. Broccolato. Permanent scatterers analysis for atmospheric correction in ground-based SAR interferometry. IEEE Trans. Geosci. Remote Sens., 43(7):1459-1471, July 2005. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, Ground-based SAR, Citrin Valley, Italy, atmospheric correction, atmospheric disturbance, atmospheric effects, building structural change detection, ground-based SAR interferometry, landslide monitoring, permanent scatterers analysis, spaceborne SAR interferometry, synthetic aperture radar, terrain monitoring, remote sensing by radar, synthetic aperture radar, terrain mapping, topography (Earth);. [Abstract] [bibtex-entry]

Conference articles

  1. Roberto Coscione, Irena Hajnsek, and Othmar Frey. An experimental car-borne SAR System: measurement setup and positioning error analysis. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 6364-6367, 2018. Keyword(s): SAR Processing, Time-Domain Back-Projection, TDBP, dechirp-on-receive, FMCW, Frequency-modulated continous wave, Ground-based SAR, car-borne SAR, CARSAR, InSAR, DInSAR, geophysical techniques, ground-based SAR system, radar interferometry, synthetic aperture radar, GAMMA Portable Radar Interferometer (GPRI), GPRI, GPRI-II, interferometric technique, Coherence, Correlation, Interferometry, agile platform, airborne SAR, Inertial Naviation System (INS), Global Navigation Satellite System (GNSS), INS/GNSS, iMAR. [Abstract] [bibtex-entry]

  2. Esteban Aguilera, Matteo Nannini, and Andreas Reigber. Multi-signal compressed sensing for polarimetric SAR tomography. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 1369-1372, July 2011. Keyword(s): Airborne SAR, SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, Distributed Compressive Sensing, DCS methodology, E-SAR sensor, SAR image, azimuth-range pixel, distributed compressed sensing, elevation direction, fully polarimetric L-band data, multiplicative speckle noise, multisignal compressed sensing, pass acquisition geometry, polarimetric SAR tomography, polarimetric channel, space-borne radar platform, synthetic aperture radar, three dimensional imaging, tomographic focusing approach, tomographic signal, vertical reflectivity function, image reconstruction, image resolution, image sensors, radar imaging, radar polarimetry, radar resolution, spaceborne radar, speckle, synthetic aperture radar, tomography;. [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 16:41:26 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .

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