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102 results on '"Tebaldini, S."'

2. Forest Applications

Author

Papathanassiou, K. P., Cloude, S. R., Pardini, M., Quiñones, M. J., Hoekman, D., Ferro-Famil, L., Goodenough, D., Chen, H., Tebaldini, S., Neumann, M., Ulander, L. M. H., Soja, M. J., van der Meer, Freek D., Series Editor, Jarocińska, Anna, Series Editor, Hajnsek, Irena, editor, and Desnos, Yves-Louis, editor

Published
2021
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3. Forest Applications

Author

Papathanassiou, K. P., primary, Cloude, S. R., additional, Pardini, M., additional, Quiñones, M. J., additional, Hoekman, D., additional, Ferro-Famil, L., additional, Goodenough, D., additional, Chen, H., additional, Tebaldini, S., additional, Neumann, M., additional, Ulander, L. M. H., additional, and Soja, M. J., additional

Published
2021
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4. Modeling The Impact of Temporal Decorrelation on Insar Ground Cancellation Techniques in the Frame of Tropical Forest Characterization at P Band

Author

Ferro-Famil, L., d'Alessandro, M. Mariotti, Tebaldini, S., Huang, Y., Département Electronique, Optronique et Signal (DEOS), Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Politecnico di Milano [Milan] (POLIMI), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Nantes Université - pôle Sciences et technologie, and Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)

Subjects
[SPI]Engineering Sciences [physics]
Abstract

International audience; 3-D imaging using SAR tomography is a well-recognized technique for the characterization of forested areas. Studies revealed that the intensity of radar echoes originating from specific locations within the canopy of forest could be used to estimate its above ground biomass. Moreover, a recent work proposed an estimation technique using a pair of interferometric SAR images only. The images are combined in order to cancel contributions from the ground, and to roughly estimate the volume reflectivity. This paper proposes to study the influence of temporal decorrelation of this minimalist approach, which relies on the hypothesis of perfectly correlated signals. A model, based on second order statistics, is proposed and is used to predict the influence of temporal decorrelation of the relative error of the above ground biomass estimation over tropical forests measured at P band.

Published
2022
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7. SAR calibration aided by permanent scatterers

Author

D'Aria, D., Ferretti, A., Guarnieri, A.M., and Tebaldini, S.

Subjects
Calibration -- Methods, Radiometers -- Usage, Scattering (Physics) -- Analysis, Synthetic aperture radar -- Design and construction, Business, Earth sciences, Electronics and electrical industries
Published
2010

11. Forest Applications

Author

Papathanassiou, K.P., Cloude, S.R., Pardini, M., Quiñones, M.J., Hoekman, D., Ferro-Famil, L., Goodenough, D., Chen, H., Tebaldini, S., Neumann, M., Ulander, L.M.H., Soja, M.J., Papathanassiou, K.P., Cloude, S.R., Pardini, M., Quiñones, M.J., Hoekman, D., Ferro-Famil, L., Goodenough, D., Chen, H., Tebaldini, S., Neumann, M., Ulander, L.M.H., and Soja, M.J.

Abstract

The application of polarimetric Synthetic Aperture Radar (SAR) to forest observation for mapping, classification and parameter estimation (especially biomass) has a relatively long history. The radar penetration through forest volume, and hence the multi-layer nature of scattering models, make fully polarimetric data the observation space enabling a robust and full inversion of such models. A critical advance came with the introduction of polarimetric SAR interferometry, where polarimetry provides the parameter diversity, while the interferometric baseline proves a user-defined entropy control as well as spatial separation of scattering components, together with their location in the third dimension (height). Finally, the availability of multiple baselines leads to the full 3-D imaging of forest volumes through TomoSAR, the quality of which is again greatly enhanced by the inclusion of polarimetry. The objective of this Chapter is to review applications of SAR polarimetry, polarimetric interferometry and tomography to forest mapping and classification, height estimation, 3-D structure characterization and biomass estimation. This review includes not only models and algorithms, but it also contains a large number of experimental results in different test sites and forest types, and from airborne and space borne SAR data at different frequencies.

Published
2021

13. Solutions for Spaceborne 3-D Characterisation of Forests using Spaceborne SAR Sensors

Author

Ferro-Famil, Laurent, Huang, Yue, Tebaldini, S., Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano [Milan] (POLIMI), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)

Subjects
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

14. SARSIM and SARSIM+: data-bases for the development of SAR Tomography in forestry applications

Author

Tebaldini, S., Mariotti d'Alessandro, M., Pardini, Matteo, Ferro-Famil, Laurent, Huang, Yué, Papathanassiou, Kostas, Ulander, Lars, Blomberg, Erik, Wasik, Valentine, Dupuis, Xavier, Lavalle, Marco, Hensley, Scott, DEIB, Politecnico di Milano, Milano, Italy, Politecnico di Milano [Milan] (POLIMI), German Aerospace Center (DLR), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institut d'Electronique et de Télécommunications de Rennes (IETR), Centre National de la Recherche Scientifique (CNRS)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES), Chalmers University of Technology [Göteborg], ONERA / DEMR, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, DEMR, ONERA [Salon], ONERA, Jet Propulsion Laboratory (JPL), California Institute of Technology (CALTECH)-NASA, ANR-15-ASTR-0002,ALYS,Analyse de surfaces urbaines par tomographie SAR(2015), Nantes Université (NU)-Université de Rennes 1 (UR1), NASA-California Institute of Technology (CALTECH), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

15. Estimation of Tropical Forest Structure and Biomass from Airborne P-band Backscatter and TomoSAR Measurements

Author

Saatchi, S., Ramach, N., Ran, Tebaldini, S., Quegan, S., Toan, T. L., Papathanassiou, K., Chave, J., Shugart, H., Jeffery, K., and White, L.

Subjects
010504 meteorology & atmospheric sciences, TomoSAR, 0208 environmental biotechnology, 02 engineering and technology, Atmospheric sciences, 01 natural sciences, cycles carbon, Scattering, above ground biomass, tomographical imaging capability, Biomass, Biomass (ecology), P-band frequency, AD 2021 to 2022, forestry, Biological system modeling, Biosphere, Vegetation, synthetic aperture radar measurements, carbon capture and storage, ecology, synthetic aperture radar, tomography, vegetation, tropical forest structure, three-dimensional arrangement, individual trees, ecosystem functions, nutrients, global storage, terrestrial vegetation, carbon storage, Earth systems, BIOMASS mission, European Space Agency, airborne P-band backscatter, biosphere, wavelength 70.0 cm, Forestry, Backscatter, Reflectivity, Synthetic aperture radar, chemistry.chemical_element, Ecosystem, 0105 earth and related environmental sciences, Carbon capture and storage (timeline), 020801 environmental engineering, Earth system science, chemistry, Environmental science, Carbon
Abstract

The structure of forests, in terms of mass and the three-dimensional arrangement of individual trees, is a direct indicator of how much carbon is stored in the ecosystem, which in turn, has a profound effect on how the ecosystem functions and cycles carbon, water, and nutrients (Shugart et al., 2015). There is an increased need to understand local to global storage and dynamics of carbon in terrestrial vegetation, as carbon storage is a prerequisite to understanding the coupling of the biosphere to other components of Earth systems including the climate. The BIOMASS mission of the European Space Agency (ESA), to be launched in 2021-2022 will provide, for the first time, synthetic aperture radar measurements at P-band frequency (~70 cm wavelength) and tomographical (TomoSAR) imaging capability to quantify forest structure and above ground biomass.

Published
2019

16. Recent Advances in the Characterization of Forests using SAR Tomography in Spaceborne Configurations

Author

Ferro-Famil, Laurent, Chen, Erxue, Tebaldini, S., Huang, Yue, Hong, Wen, Li, Xinwu, Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), RIFRIT, CAF, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano [Milan] (POLIMI), IECAS, Key Laboratory Digital Earth, Chinese Academy of Sciences [Changchun Branch] (CAS), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018

17. The ASI P-Band Helicopter-Borne Integrated Sounder-Sar System: Preliminary Results of The 2018 Morocco Desert Campaign

Author

Perna, S., primary, Facchinetti, C., additional, Formaro, R., additional, Gennarelli, G., additional, Gerekos, C., additional, Lanari, R., additional, Longo, F., additional, Ludeno, G., additional, d'Alessandro, M. Mariotti, additional, Natale, A., additional, Noviello, C., additional, Alberti, G., additional, Palmese, G., additional, Papa, C., additional, Pica, G., additional, Rocca, F., additional, Salzillo, G., additional, Soldovieri, F., additional, Tebaldini, S., additional, Thakur, S., additional, Berardino, P., additional, Bruzzone, L., additional, Califano, D., additional, Catapano, I., additional, Ciofaniello, L., additional, Donini, E., additional, and Esposito, C., additional

Published
2019
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18. Evaluating Spaceborne L-band PolTomoSAR for Forest Biomass Retrieval based on Airborne SAR Data

Author

Blomberg, Erik, Ferro-Famil, Laurent, Ulander, Lars, Soja, Maciej, Tebaldini, S., Chalmers University of Technology [Göteborg], Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano [Milan] (POLIMI), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018

21. Calibration Challenges for the Biomass P-Band SAR Instrument

Author

Quegan, S., primary, Lomas, M, additional, Papathanassiou, K. P., additional, Kim, J-S., additional, Tebaldini, S., additional, Giudici, D., additional, Scagliola, M, additional, Guccione, P., additional, Dall, J., additional, Dubois-Fenandez, P., additional, and Paillou, P., additional

Published
2018
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23. Estimation of the Above Ground Biomass of Tropical Forests using Polarimetric and Tomographic SAR Data Acquired at P Band and 3-D Imaging Techniques (Invited)

Author

Ferro-Famil, Laurent, El Hajj Chehade, Bassam, Ho Tong Minh, Dinh, Le Toan, Thuy, Tebaldini, S., Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), DEIB, Politecnico di Milano, Milano, Italy, Politecnico di Milano [Milan] (POLIMI), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016

24. Phase Calibration of Tomographic SAR data using volumetric natural targets

Author

Tebaldini, S., Rocca, F., d'Alessandro, M. Mariotti, Ferro-Famil, Laurent, Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano [Milan] (POLIMI), Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; A fundamental requirement for TomoSAR processing is to have precise knowledge of the platform position along the 2D synthetic aperture. This requirement is not easily met in the case where the 2D aperture is formed by collecting different flight lines in a repeat-pass fashion, which is the typical case of airborne and spaceborne TomoSAR. Subwavelength platform position errors give rise to residual phase screens among different passes, which hinder coherent focusing in the 3D space. The employment of volumetric scatterers in the calibration process is enabled by the Phase Linking algorithm, which allows to represent them as equivalent phase centers. A cross-check of the results from simultaneous P- and L-Band acquisitions from the TropiSAR data-set indicates that the dispersion of the retrieved flight trajectories is limited to a few millimeters.

Published
2016

28. Recent advances in the characterization of forest structure and biomass in air- and space-borne configurations using polarimetric SAR tomography

Author

Ferro-Famil, Laurent, Tebaldini, S., Pottier, E., Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano [Milan] (POLIMI), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Nantes Université (NU)-Université de Rennes 1 (UR1)

Subjects
[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, [SPI.TRON]Engineering Sciences [physics]/Electronics
Abstract

International audience

Published
2015

29. Time-frequency polarimetric analyses of maritime environments in high resolution SAR data

Author

Banda, Francesco, Ferro-Famil, Laurent, Tebaldini, S., Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano [Milan] (POLIMI), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Subjects
coherent Time-Frequency analysis, polarimetric optimization, multivariate statistics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, ship detection, high-resolution imaging, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, SAR
Abstract

International audience

Published
2015

30. Assessment of TangoSat and Biomass tomographic modes for the characterization of boreal forests using airborne SAR measurements

Author

Ferro-Famil, Laurent, Tebaldini, S., Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), DEIB, Politecnico di Milano, Milano, Italy, Politecnico di Milano [Milan] (POLIMI), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Subjects
remote sensing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, spaceborne, Forest, tomography, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, 3-D imaging, polarimetry, SAR
Abstract

International audience

Published
2015

31. Assessment of the TangoSat tomographic mode for the characterization of boreal forests using airborne SAR measurements

Author

Ferro-Famil, Laurent, Tebaldini, S., Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), DEIB, Politecnico di Milano, Milano, Italy, Politecnico di Milano [Milan] (POLIMI), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)

Subjects
remote sensing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, spaceborne, Forest, tomography, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, 3-D imaging, SAR, polarimetry
Abstract

International audience

Published
2014

32. 3D Imaging of the Snowpack at X- and Ku-Band: Results from the AlpSAR Campaign

Author

Ferro-Famil, Laurent, Tebaldini, S., Davy, Matthieu, Boutet, Frédéric, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano [Milan] (POLIMI), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)

Subjects
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2014

33. Interferometric experiments with the first Italian airborne P-band radar

Author

Fornaro, G., primary, Tebaldini, S., additional, Perna, S., additional, Mariotti d'Alessandro, M., additional, Berardino, P., additional, Lanari, R., additional, Manzo, M., additional, Rocca, F., additional, Soldovieri, F., additional, Alberti, G., additional, Papa, C., additional, Salzillo, G., additional, Pica, G., additional, Palmese, G., additional, Califano, D., additional, Ciofaniello, L., additional, Longo, F., additional, Facchinetti, C., additional, and Formaro, R., additional

Published
2016
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35. 3‐D Characterization of Snowpacks at X and Ku Bands by VHR Tomography using the GB ‐ PoSAR Multibaseline System

Author

Ferro-Famil, Laurent, Tebaldini, S., Davy, Matthieu, Boutet, Frédéric, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano [Milan] (POLIMI), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Nantes Université (NU)-Université de Rennes 1 (UR1)

Subjects
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2013

36. ML tomography based on the MB RVoG model: optimal estimation of a covariance matrix structured as a sum of two Kronecker products

Author

Ferro-Famil, Laurent, Tebaldini, S., Institut d'Électronique et des Technologies du numéRique (IETR), Nantes Université (NU)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), DEIB, Politecnico di Milano, Milano, Italy, Politecnico di Milano [Milan] (POLIMI), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Université de Nantes (UN)-Université de Rennes 1 (UR1)

Subjects
Maximum Likelihood, remote sensing, multivariate statistics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, structured covariance matrix, tomography, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, SAR, polarimetry, sum of kronecker products
Abstract

International audience

Published
2013

38. Sentinel-1 Radar Interferometry Applications

Author

Zan, F., Guarnieri, A. M., Rocca, F., and Tebaldini, S.

Subjects
SAR Interferometry, temporal decorrelation, Institut für Hochfrequenztechnik und Radarsysteme, Radarkonzepte, permanent scatterers
Abstract

The short revisit time in the ERS Tandem experiment shows the data quality reachable when the temporal coherence is high. Sentinel 1 will have a revisit time of 12 days. Using the 3 days repeat data from the ice phase of ERS1, we evaluated the improvements for distributed scatterers interferometry. Slow ground motion, visible in many successive images, allows the estimation of the subsidence rate from the interferogram stacks and not only from Persistent Scatterers. Interferograms at multiple spans can be optimally combined. The dispersion of the subsidence rate estimate obtained in one year using interferogram stacks compares favourably to a PS, if the number of pixels used is greater than say 100. We compare the Cramér Rao bound for the subsidence estimates for a Markov model of the temporal decorrelation to an approximated optimal linear estimate found from the covariances of the interferograms at different spans. The unbiased subsidence rate estimates are consistent

Published
2008

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