Present


PhD Students (PhDS) / Research Engineers (RE) :
  • Antoine BRALET (PhDS, 2021 - 2024) (Research supervisor: A. M. Atto, Co-supervisors: E. Trouvé and J. Chanussot)
       Research topic: Multimodal Deep Learning for the analysis of spatio-temporal dynamics from remote sensing images
  • Matthieu GALLET (PhDS, 2021 - 2024) (Research supervisor: A. M. Atto, Co-supervisors: E. Trouvé and F. Karbou)
       Research topic: Machine-learning for the characterization and analysis of the dynamics of the cryosphere by SAR satellite imagery
  • Hermann COURTEILLE (RE, 2020 - 2022) (Research team: N. Méger, A. Benoit, A. M. Atto)
       Research topic: Attention Models for Deep Learning and Multivariate Time Series Analysis
  • Internships (2021):
  • Michaël Dell'aiera (Supervisors: H. Courteille, A. Benoit, N. Méger, A. M. Atto)
       Research topic: Anomaly Detection, projetc: EUR Solar Academy, USMB & Heliocity.

  • Salah-Eddine Boudaour (Supervisors: S. Giffard-Roisin, M.-P. Doin, Y. Yan, A. M. Atto)
       Research topic: Image Time Series Covariance Learning, project: MIAI Grenoble Alpes.




  • Supervision (past) (2012-2020)


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    HADHRI, Héla, 2016 - 2020 (PhD)

    PhD Thesis topic: Stereoscopic Image Time Series Analysis

    Stereoscopic time lapses
  • 2x2D+T Dependent Displacement Field Modeling.
  • 3D+T Displacement Field Modeling.
  • Glacier analysis
  • Deterministic evolutions (glacier acceleration and compression areas).
  • Stochastic/Nearly Chaotic Dynamics (serac falls, avalanche, etc.).
  • ``Argentière glacier image time lapse''
    Arentière-TSX

    Selected publications
  • [Journal] Hela Hadhri, Flavien Vernier, Abdourrahmane M. Atto, Emmanuel Trouvé, Time-lapse optical flow regularization for geophysical complex phenomena monitoring, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 150, Pages 135-156 (2019).
  • [Conference] Hela Hadhri, Flavien Vernier, Abdourrahmane M. Atto, Emmanuel Trouvé, Inverse Formulation of Temporal Closure and Proposed Solutions for Offset Tracking of Natural Scenes, MultiTemp, Bruges, Belgium. 2017.



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    MIAN, Ammar, 2016 - 2019 (PhD)

    PhD Thesis topic: Analysis of High Resolution Airborne SAR Image Time Series

    Robust Multivariate Statistics and SAR 'orientation-frequency' image representation
  • SAR: Synthetic Aperture Radar (remote imaging).
  • High resolution: Airborne sensing (quality that cannot be provided by standard SAR satellites).
  • Airborne High Resolution Image / Decomposition (Courtesy: @dlr-fsar-images)
    Grand Canyon

    Selected publications
  • [Journal] A. Mian, J. Ovarlez, A. M. Atto and G. Ginolhac, Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection, IEEE Transactions on Geoscience and Remote Sensing, (available online, 2019).
  • [Journal] A. Mian, J. Ovarlez, G. Ginolhac and A. M. Atto, New Robust Statistics for Change Detection in Time Series of Multivariate SAR Images, IEEE Transactions on Signal Processing, vol. 67, no. 2, pp. 520-534, 15 Jan.15, 2019.



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    LESNIEWSKA-CHOQUET, Charles, 2016 - 2019 (PhD)

    PhD Thesis topic: Information Fusion from Distributed Images and Image Time Series

    Imprecise Probability Based Analysis of Distributed Image Series
  • Series: Radar/Optical (remote sensing wavelength complementarity).
  • Series: Optical / Optical (multi-view).
  • Example of panoramic image fusion (``Grand Canyon National Park'', Courtesy: @nasaimages)
    Grand Canyon

    Selected publications
  • [Journal/in revision] C. Lesniewska-Choquet, G. Mauris, A. M. Atto and G. Mercier, On Elliptical Possibility Distributions, IEEE Transactions on Fuzzy Systems, (2019).
  • [Conference] C. Lesniewska-Choquet, A. M. Atto, G. Mauris and G. Mercier, Image change detection by possibility distribution dissemblance, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, 2017.



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    HOARAU, Quentin, 2014 - 2017 (Doctoral studies)

    PhD Thesis topic: Detection and localization of conical shapes in georadar images

    Objectives
  • Developing a universal geolocation method, in a network configuration scheme, independently with respect to the materials involved in network.
  • Improving the security of underground networks (telecommunications, gas, water, electricity, etc.).
  • Technologies and partners
  • Ground Penetrating Radar (GPR) imaging systems Electromagnetic waves, Vibro-acoustics, Radio Frequency Identification (RFID).
  • in collaboration with GDF SUEZ (CRIGEN) and Telecom ParisTech thanks to Project G4M (Geodetection Multi Materials, Multi Trades, funded by the 16th FUI).
  • ``GPR Image''
    Image-GPR

    Selected publications
  • [Journal] Hoarau Quentin, Ginolhac G., Atto A. M., Nicolas J.-M., Robust Adaptive Detection of Buried Pipes using GPR, Elsevier Signal Processing (SigPro), (July 2016).
  • [Conference] Hoarau Quentin, Ginolhac G., Atto A. M., Nicolas J.-M., Ovarlez J.-P., Robust Adaptive Detection of Buried Pipes using GPR, European Signal Processing Conference (EUSIPCO), Budapest, Hungary, 2016.



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    TAN, Zhangyun, 2013 - 2016 (PhD)

    PhD Thesis topic: Stochastic and Geometry Invariances for the Analysis of Textures

    Texture analysis
  • Fractional stochastic models.
  • Geometric features.
  • Texture synthesis
  • Stochastic models under geometry constraints.
  • Industrial context for Transmission Electron Microscopy (TEM) texture characterization (research centre IFP Energies Nouvelles).
  • ``Statistical and Geometral invariances?''
    Arentière-TSX

    Selected publication
  • [Journal] Tan Zhangyun, Moreaud M., Alata O., Atto A.M., ARFBF Morphological Analysis - Application to the Discrimination of Catalyst Active Phases, Image Analysis & Stereology, [S.l.], v. 37, n. 1, p. 21-34, apr. 2018



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    LE, Thu Trang, 2012 - 2015 (PhD)

    PhD Thesis topic: SAR Image Time Series Analysis
  • (identifying) Acquisitions of interest: for change analysis or content retrieval.
  • (identifying) Stationary subsequences: for multidate image filtering or seasonality analysis.
  • Analysis (multistage)
  • Spatial / sub-image level bidate context (change analysis and content retrieval).
  • Temporal / pixel level multidate context (multidate image filtering or stationary subsequence identification).
  • Acquisition modality (coherent waves)
  • Synthetic Aperture Radar (SAR) / Satellite imaging (TerraSAR-X, COSMO-SkyMed).
  • Temporal resolution: repeat acquisition cycle of 11 days.
  • Spatial resolution: 1 to 3 meters, scene with size 50 square kilometers (Chamonix-Mont-Blanc glaciers).
  • ``A 24 length image time series - Argentière''
    Arentière-TSX

    Selected publications
  • [Journal] Thu Trang Le, Atto A.M., Trouvé E., Solikhin A., Pinel V., Change detection matrix for multitemporal filtering and change analysis of SAR and PolSAR image time series, Elsevier Journal of Photogrammetry and Remote Sensing (ISPRS), available online (March 2015).
  • [Journal] Thu Trang Le, Atto A.M., Trouve E., Adaptive Multitemporal SAR Image Filtering Based on the Change Detection Matrix, IEEE Geoscience and Remote Sensing Letters, vol.11, no.10, Oct. 2014.