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Team

Signal Images Physique
Team manager : Jocelyn CHANUSSOTCornel IOANA

The Signal-Images-Physics (SigmaPhy) team directs its research towards signal and image processing and wave physics for  natural environments (oceanic, terrestrial and underground environments)  characterization and surveillance.

Scientific topics:
Underwater acoustics: active and passive observing, localization (source/target) in complex environment;
Optical and/or high resolution (special and spectral) radar remote sensing (image processing).
Transient signal imagery: seismic imagery, ultrasonic signals, fluorescence signals.

Team Presentation

 

 


 
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English
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The SigmaPhy team is associated with the Grenoble Universe Sciences Observatory (l’Observatoire des Sciences de l’Univers de Grenoble (OSUG)) and collaborates with the laboratories that are part of the Observatory : Earth Sciences Institute (ISTerre), Geophysics and Glaciology Laboratory for the Environment (LGGE), The Laboratory for  Hydrology Transfers and Environment (LTHE), Center for Snow Studies (MeteoFrance), Grenoble Institute of Planetology and Astrophysics (IPAG).

The SIGMAPHY team is involved in collaborative scientific projects as :

  • Underwater acoustics and oceanic acoustic tomography;
  • Satellite imaging (hyperspectral imaging);
  • Ultrasound signal processing in industrial applications;
  • Glacier tracking by satellite and radar imaging;
  • Underground imaging and multi component antennas;
  • Analysis of transient phenomena.

The team collaborates also with a multitude of partners in industry and academics on a national and international scale (see the team's Collaborations tab).

THE TEAM'S RECENT PUBLICATIONS

Polarimetric Incoherent Target Decomposition by Means of Independent Component Analysis
IEEE Transactions on Geoscience and Remote Sensing 53 3 2015-03-01 12 pages
Besic,Nikola and Vasile,Gabriel and Chanussot,Jocelyn and Stankovic,Srdjan, [hal-01023169]

Stochastic Approach in Wet Snow Detection Using Multitemporal SAR Data
IEEE Geoscience and Remote Sensing Letters 12 2 2015-02-01 244-248
Besic,Nikola and Vasile,Gabriel and Dedieu,Jean-pierre and Chanussot,Jocelyn and Stankovic,Srdjan, [hal-01023156]

 

A frequency method for blind separation of an anechoic mixture
EUSIPCO 2014 Conference Proceedings - 22nd European Signal Processing Conference (EUSIPCO-2014) PT 2014-09-01
Ouedraogo,Wendyam and Nicolas,Barbara and Oudompheng,Benoit and Mars,Jerome and Jutten,Christian, [hal-01060142]




Latest publications of team

Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation

Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, et al.. Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation. Submitted for Journal (Version 2). 2018. 〈hal-01687733〉

Raypath Separation With a High-Resolution Algorithm in a Shallow-Water Waveguide

Longyu Jiang, Philippe Roux, Jerome Mars. Raypath Separation With a High-Resolution Algorithm in a Shallow-Water Waveguide. IEEE Journal of Oceanic Engineering, Institute of Electrical and Electronics Engineers, 2018, 44 (1), pp.119-130. 〈http://ieeexplore.ieee.org/document/7864363/〉. 〈10.1109/JOE.2017.2660778〉. 〈hal-01499820〉

Passive Acoustic Measurement of Bedload Grain Size Distribution using the Self-Generated Noise

Teodor Petrut, Thomas Geay, Cedric Gervaise, Philippe Belleudy, Sebastien Zanker. Passive Acoustic Measurement of Bedload Grain Size Distribution using the Self-Generated Noise. 2017. 〈hal-01666359〉


All publications of team
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