Author: "Tupin, F." - Searchworks@Jio Institute Digital Library Search Results

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152 results on '"Tupin, F."'

1. CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations

Author: Ouaknine, A., Newson, A., Rebut, J., Tupin, F., and Pérez, P.
Subjects: Computer Science - Computer Vision and Pattern Recognition, I.2.10, I.4.8
Abstract: High quality perception is essential for autonomous driving (AD) systems. To reach the accuracy and robustness that are required by such systems, several types of sensors must be combined. Currently, mostly cameras and laser scanners (lidar) are deployed to build a representation of the world around the vehicle. While radar sensors have been used for a long time in the automotive industry, they are still under-used for AD despite their appealing characteristics (notably, their ability to measure the relative speed of obstacles and to operate even in adverse weather conditions). To a large extent, this situation is due to the relative lack of automotive datasets with real radar signals that are both raw and annotated. In this work, we introduce CARRADA, a dataset of synchronized camera and radar recordings with range-angle-Doppler annotations. We also present a semi-automatic annotation approach, which was used to annotate the dataset, and a radar semantic segmentation baseline, which we evaluate on several metrics. Both our code and dataset are available online., Comment: 9 pages, 5 figues. Accepted at ICPR 2020. Erratum: results in Table III have been updated since the ICPR proceedings, models are selected using the PP metric instead of the previously used PR metric
Published: 2020

2. A two-level Markov random field for road network extraction and its application with optical, SAR, and multitemporal data

Author: Perciano, T, Tupin, F, Hirata, R, and Cesar, RM
Subjects: Physical Geography and Environmental Geoscience, Geomatic Engineering, Geological & Geomatics Engineering
Abstract: ABSTRACT: This article introduces a method for road network extraction from satellite images. The proposed approach covers a new fusion method (using data from multiple sources) and a new Markov random field (MRF) defined on connected components along with a multilevel application (two-level MRF). Our method allows the detection of roads with different characteristics and decreases by around 30% the size of the used graph model. Results for synthetic aperture radar (SAR) images and optical images obtained using the TerraSAR-X and Quickbird sensors, respectively, are presented demonstrating the improvement brought by the proposed approach. In a second part, an analysis of different types of data fusion combining optical/radar images, radar/radar images, and multitemporal SAR (TerraSAR-X and COSMO-SkyMed) images is described. The qualitative and quantitative results show that the fusion approach improves considerably the results of the road network extraction.
Published: 2016

3. PB0402 The FCγRIIA Receptor Does Not Play a Critical Role in Hemostasis and Thrombosis in the Absence of Immune Complexes

Author: Tupin, F., primary, Magnenat, S., additional, Mouriaux, C., additional, Mangin, P., additional, and Hechler, B., additional
Published: 2023
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4. Applying Deep Learning to P-Band SAR Tomographic Imaging in Preparation for the Future Biomass Mission

Author: Berenger, Z., primary, Denis, L., additional, Tupin, F., additional, and Ferro-Famil, L., additional
Published: 2023
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5. Multilabel partition moves for MRF optimization

Author: Shabou, A., Darbon, J., and Tupin, F.
Published: 2013
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6. A Graph-Based Representation to Detect Linear Features

Author: Tupin, F., Mangin, J.F., Pechersky, E., Nicolas, J. M., Maître, H., Jolion, Jean-Michel, editor, and Kropatsch, Walter G., editor
Published: 1998
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7. Iterative weighted maximum likelihood denoising with probabilistic patch-based weights

Author: Deledalle, C.-A., Denis, L., and Tupin, F.
Subjects: Iterative methods (Mathematics) -- Usage, Maximum likelihood estimates (Statistics) -- Usage, Synthetic aperture radar -- Design and construction, Business, Computers, Electronics, Electronics and electrical industries
Published: 2009

8. Severity of Transfusion-Related Acute Lung Injury in mice expressing human FcgRIIA is determined by platelet-released serotonin

Author: El Mdawar, M-B, additional, Maître, B, additional, Magnenat, S, additional, Tupin, F, additional, Jönsson, F, additional, Gachet, C, additional, de la Salle, H, additional, and Hechler, B, additional
Published: 2021
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9. Detection of building outlines based on the fusion of SAR and optical features

Author: Tupin, F and Roux, M
Published: 2003
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10. Unsupervised detection of thin water surfaces in SWOT images based on segment detection and connection

Author: Lobry, S., primary, Tupin, F., additional, and Fjortoft, R., additional
Published: 2017
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11. Comparison between pixel and region based sits analysis approaches

Author: Rejichi, S., primary, Chaabane, F., additional, and Tupin, F., additional
Published: 2017
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12. VHR Satellite Image Time Series analysis using expert knowledge modeling and user assistance

Author: Rejichi, S., primary, Chaabane, F., additional, and Tupin, F., additional
Published: 2016
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13. A decomposition model for scatterers change detection in multi-temporal series of SAR images

Author: Lobry, S., primary, Tupin, F., additional, and Denis, L., additional
Published: 2016
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14. A new phase unwrapping processing chain for 3D reconstruction of urban areas

Author: Shabou, A., Tupin, F., Ferraioli, G., and Fabio Baselice
Published: 2012

15. Fisher PDF for Maximum Likelihood Texture Tracking with High Resolution PolSAR Data

Author: Harant, O., Lionel Bombrun, Vasile, G., Gay, M., Ferro-Famil, L., Fallourd, R., Trouvé, E., Nicolas, J. -M, Tupin, F., GIPSA - Signal Images Physique (GIPSA-SIGMAPHY), Département Images et Signal (GIPSA-DIS), Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, GIPSA-Services (GIPSA-Services), 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), Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Stendhal - Grenoble 3-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), 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 Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Université de Rennes 1 (UR1), and Université Stendhal - Grenoble 3-Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2010

16. Comparison of two methods in multi-temporal differential SAR interferometry: Application to the measurement of Mexico City subsidence

Author: Yan, Y., Lopdz-Quiroz, P., Marie-Pierre Doin, Tupin, F., Fruneau, B., Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Laboratoire de géologie de l'ENS (LGENS), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Géomatériaux et géologie de l'ingénieur (G2I), Centre National de la Recherche Scientifique (CNRS), and Yan, Yajing
Subjects: [INFO]Computer Science [cs], [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2009

17. SAR amplitude filtering using TV prior and its application to building delineation

Author: Denis, L., Tupin, F., Jerome Darbon, Sigelle, M., Tison, C., Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Department of Mathematics [UCLA], University of California [Los Angeles] (UCLA), University of California-University of California, Centre National d'Études Spatiales [Toulouse] (CNES), and Etude CNES R-S06/OT04-010
Subjects: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; This paper investigates the use of a popular regularization model, the Total Variation minimization (TV), to filter SAR images and reduce speckle noise. This model is extensively used for its property of preserving edges. Due to the many local minima, TV minimization is difficult to achieve for non-convex likelihood terms such as that of SAR amplitude. Such a minimization can be performed efficiently by computing minimum cuts on weighted graphs. Exact minimization, although theoretically possible, can not be implemented due to memory constraints on large images required by remote sensing applications. The computational burden of the state-of-the-art algorithm for approximate minimization is also heavy. In this paper, we propose a new fast approximate discrete algorithm. The filtering is applied in the framework of building delineation for 3D reconstruction. Results on real images are presented.
Published: 2008

18. S.12.02 Absence of D-serine results in abnormal dopamine–glutamate dialogue in the prefrontal cortex

Author: Dallerac, G., primary, Tupin, F., additional, Morisot, N., additional, Levasseur, G., additional, Sacchi, S., additional, Fossat, P., additional, Rivet, J.M., additional, Oliet, S.H., additional, Coyle, J.T., additional, Pollegioni, L., additional, Snyder, S.H., additional, Contarino, A., additional, Millan, M.J., additional, and Mothet, J.P., additional
Published: 2014
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19. Quel est l'intérêt du concept d''organisateur des pratiques enseignantes' pour la formation des enseignants ?

Author: UCL - PSP/PSP - Faculté de psychologie et des sciences de l'éducation, Paquay, Léopold, Altet, M., Bru, M., Pastré, P., Robert, A., Tupin, F., UCL - PSP/PSP - Faculté de psychologie et des sciences de l'éducation, Paquay, Léopold, Altet, M., Bru, M., Pastré, P., Robert, A., and Tupin, F.
Published: 2008

20. Quality evaluation of 3D city building Models with automatic error diagnosis

Author: Michelin, J.-C., primary, Tierny, J., additional, Tupin, F., additional, Mallet, C., additional, and Paparoditis, N., additional
Published: 2013
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21. How to combine TerraSAR-X and Cosmo-SkyMed high-resolution images for a better scene understanding?

Author: Sportouche, H., primary, Tupin, F., additional, Nicolas, J.-M., additional, Perciano, T., additional, and Deledalle, C.-A., additional
Published: 2012
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22. Change detection in multitemporal HR SAR images: A hypothesis test-based approach

Author: Horta, Michelle M., primary, Mascarenhas, Nelson D. A., additional, Sportouche, H., additional, Seichepine, N., additional, Tupin, F., additional, and Nicolas, J.-M., additional
Published: 2012
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23. A first comparison of Cosmo-SkyMed and TerraSAR-X data over Chamonix Mont-Blanc test-site

Author: Nicolas, J.-M., primary, Trouve, E., additional, Fallourd, R., additional, Vernier, F., additional, Tupin, F., additional, Harant, O., additional, Gay, M., additional, and Moreau, L., additional
Published: 2012
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24. Determination of mechanisms that can occur in NLOS urban canyon

Author: Mokadem, A., primary, Thirion-Lefevre, L., additional, Colin-Koeniguer, E., additional, and Tupin, F., additional
Published: 2012
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25. A Markovian Approach for DEM Estimation From Multiple InSAR Data With Atmospheric Contributions

Author: Shabou, A., primary and Tupin, F., additional
Published: 2012
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26. A Markovian Approach for InSAR Phase Reconstruction With Mixed Discrete and Continuous Optimization

Author: Shabou, A., primary, Darbon, J., additional, and Tupin, F., additional
Published: 2011
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27. Exact discrete minimization for TV+L0 image decomposition models

Author: Denis, L., primary, Tupin, F., additional, and Rondeau, X., additional
Published: 2010
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28. Building detection and height retrieval in urban areas in the framework of high resolution optical and SAR data fusion

Author: Sportouche, H., primary, Tupin, F., additional, and Denise, L., additional
Published: 2010
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29. Three dimensional reconstruction of urban areas using jointly phase and amplitude multichannel images

Author: Shabou, A., primary, Tupin, F., additional, Ferraioli, G., additional, and Pascazio, V., additional
Published: 2010
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30. Morphological filtering of SAR interferometric images

Author: Rejichi, S., primary, Chaabane, F., additional, Tupin, F., additional, and Bloch, I., additional
Published: 2010
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31. Actinomyces pyogenes: susceptibility of 103 clinical animal isolates to 22 antimicrobial agents

Author: Guerin-Faublee, V., Jean-Pierre Flandrois, Broye, E., Tupin, F., Richard, Y., and Revues Inra, Import
Subjects: [SDV.IMM] Life Sciences [q-bio]/Immunology, [SDV.BA] Life Sciences [q-bio]/Animal biology, [SDV.BA]Life Sciences [q-bio]/Animal biology, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, [SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics, [SDV.BC.IC] Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB], [SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB], [SDV.IMM]Life Sciences [q-bio]/Immunology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.BC] Life Sciences [q-bio]/Cellular Biology, [SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 1993

32. Joint Regularization of Phase and Amplitude of InSAR Data: Application to 3-D Reconstruction

Author: Denis, L., primary, Tupin, F., additional, Darbon, J., additional, and Sigelle, M., additional
Published: 2009
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33. Unsupervised Synthetic Aperture Radar Image Segmentation Using Fisher Distributions

Author: Galland, F., primary, Nicolas, J.-M., additional, Sportouche, H., additional, Roche, M., additional, Tupin, F., additional, and Refregier, P., additional
Published: 2009
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34. SAR Image Regularization With Fast Approximate Discrete Minimization

Author: Denis, L., primary, Tupin, F., additional, Darbon, J., additional, and Sigelle, M., additional
Published: 2009
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35. Multichannel Phase Unwrapping With Graph Cuts

Author: Ferraioli, G., primary, Shabou, A., additional, Tupin, F., additional, and Pascazio, V., additional
Published: 2009
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36. InSAR permanent scatterers selection using SAR SVA filtering

Author: Chaabane, F., primary, Sellami, M., additional, Nicolas, J-M., additional, and Tupin, F., additional
Published: 2009
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37. Building detection by fusion of optical and SAR features in metric resolution data

Author: Sportouche, H., primary, Tupin, F., additional, and Denise, L., additional
Published: 2009
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38. Junction-aware extraction and regularization of urban road networks in high-resolution SAR images

Author: Negri, M., primary, Gamba, P., additional, Lisini, G., additional, and Tupin, F., additional
Published: 2006
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39. Fusion of Interferometric and Optical Data for 3D Reconstruction

Author: Tupin, F., primary
Published: 2006
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40. Feature Fusion to Improve Road Network Extraction in High-Resolution SAR Images

Author: Lisini, G., primary, Tison, C., additional, Tupin, F., additional, and Gamba, P., additional
Published: 2006
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41. An empirical model for interferometric coherence

Author: Chaabane, F., primary, Tupin, F., additional, and Maitre, H., additional
Published: 2005
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42. Markov random field on region adjacency graph for the fusion of SAR and optical data in radargrammetric applications

Author: Tupin, F., primary and Roux, M., additional
Published: 2005
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43. A Markovian scheme for joint retrieval of classification and height map from urban interferometric SAR images

Author: Tison, C., primary, Tupin, F., additional, and Maitre, H., additional
Published: 2005
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44. A new statistical model for Markovian classification of urban areas in high-resolution SAR images

Author: Tison, C., primary, Nicolas, J.-M., additional, Tupin, F., additional, and Maitre, H., additional
Published: 2004
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45. A hierarchical Markov random field for road network extraction and its application with optical and SAR data.

Author: Perciano, T., Tupin, F., Hirata, R., and Cesar, R.M.
Published: 2011
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46. Influence of speckle filtering of Polarimetric SAR data on different classification methods.

Author: Fang Cao, Deledalle, C.-A., Nicolas, J.-M., Tupin, F., Denis, L., Ferro-Famil, L., Pottier, E., and Lopez-Martinez, C.
Published: 2011
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