IEEE Geoscience and Remote Sensing Magazine - September 2015 - 43

Sophie Fabre, research engineer, received the

post graduate in Signal and Image Processing
(UPS, Toulouse III, and France) in 1996 and
the doctorate of signal, image and communication (ISAE, Toulouse, France) in 1999 on
multi-sensor fusion. She worked during five
year on projects FARM-STAR (precision crop
management) and GEOLAND (European project on the vegetation characterization using multi-temporal MERIS data) on behalf of ASTRIUM (France). Then, she joined THALES Services
(France) during one year to support the specification of the PLEIADES radiometric correction module. Finally, she joined the department DOTA (Theorectical and Applied Optics Department)
part of Onera since 2006 in order to work on hyperspectral data
processing. She is providing since 2007 the project STAD, ground
segment of the Sysiphe system (airborne hyperspectral instruments
covering the spectral domain [0.4-12 m] at a spatial resolution of
0.5 m) for DGA (France). Its recent works first concern the geometric correction, the inter-instrument registration in the STAD
frame and on the other hand the estimation of physical parameters
(soil moisture content ) owing to hyperspectral data processing.
Wenzhi Liao (S'10-M'14) received the
B.S. degree in mathematics from Hainan
Normal University, HaiKou, China, in
2006, the Ph.D. degree in engineering
from South China University of Technology, Guangzhou, China, in 2012, and the
Ph.D. degree in computer science engineering from Ghent University, Ghent, Belgium, in 2012. Since
2012, he has been working as a Postdoc with Ghent University.
His research interests include pattern recognition, remote sensing, and image processing, in particular, hyperspectral image
restoration, mathematical morphology, data fusion, and classification. Dr. Liao is a member of the Geoscience and Remote
Sensing Society (GRSS) and the IEEE GRSS Data Fusion Technical Committee (DFTC). He was the recipient of the "Best Paper Challenge" Awards on both 2013 IEEE GRSS Data Fusion
Contest and 2014 IEEE GRSS Data Fusion Contest.
Giorgio A. Licciardi received the M.S.

degree in telecommunication engineering
and the Ph.D. degree in geoinformation
from the Tor Vergata University, Rome,
Italy, in 2005 and 2010, respectively. In
2010 he joined the Laboratoire Grenoblois
de l'Image, de la Parole, du Signal et de
l'Automatique (GIPSA-Lab) as a Postdoctoral Fellow. His main
research is focused on hyperspectral image processing, including
feature extraction techniques, spectral unmixing, super-resolution
and Pansharpening. From 2014 he is Ingnieur de recherch at the
Grenoble Institute of Technology. He is also a European Space
Agency Category-1 Principal Investigator for Earth observation
data. Dr. Licciardi serves as a Referee for several scientific journals such as the IEEE Transactions on Geoscience and Remote
Sensing the IEEE Geoscience and Remote Sensing Letters and
september 2015

ieee Geoscience and remote sensing magazine

IEEE Journal of Selected Topics in Applied Earth Observations
and Remote Sensing.
Miguel Simões was born in Lisbon, Portugal, in 1987. He received the M.Sc. degree
in electrical and computer engineering
from the Instituto Superior Técnico, University of Lisbon, Lisbon, in 2010. He is
currently working toward the joint Ph.D.
degree in electrical and computer engineering, and signal and image processing at the Instituto de Telecomunicações, Instituto Superior Técnico, University of Lisbon,
Lisbon, and at the Grenoble Images Parole Signal Automatique
(GIPSA-lab), University of Grenoble, Grenoble, France, respectively. Previously, he has worked as an Information Technology
(IT) consultant in the field of telecommunications. His main areas of research interest are image processing, optimization, and
remote sensing.
Jean-Yves Tourneret (SM'08) received
the ingnieur degree in electrical engineering from the École nationale supérieure d'électrotechnique, d'électronique,
d'informatique, d'hydraulique et des télécommunications (ENSEEIHT) de Toulouse in 1989 and the Ph.D. degree from
the National Polytechnic Institute from Toulouse in 1992. He is
currently a professor in the university of Toulouse (ENSEEIHT)
and a member of the IRIT laboratory (UMR 5505 of the CNRS).
His research activities are centered around statistical signal and
image processing with a particular interest to Bayesian and Markov chain Monte Carlo (MCMC) methods. He has been involved
in the organization of several conferences including the European
conference on signal processing EUSIPCO'02 (program chair), the
international conference ICASSP06 (plenaries), the statistical signal processing workshop SSP12 (international liaisons), the International Workshop on Computational Advances in Multi-Sensor
Adaptive Processing CAMSAP 2013 (local arrangements), the statistical signal processing workshop SSP'2014 (special sessions), the
workshop on machine learning for signal processing MLSP2014
(special sessions). He has been the general chair of the CIMI workshop on optimization and statistics in image processing hold in
Toulouse in 2013 (with F. Malgouyres and D. Kouamé) and of
the International Workshop on Computational Advances in MultiSensor Adaptive Processing CAMSAP 2015 (with P. Djuric). He
has been a member of different technical committees including the
Signal Processing Theory and Methods (SPTM) committee of the
IEEE Signal Processing Society (2001-2007, 2010-present). He has
been serving as an associate editor for the IEEE Transactions on
Signal Processing (2008-2011) and for the EURASIP journal on
Signal Processing (since July 2013).
Miguel A. Veganzones (M'12) received the M.Sc. and Ph.D.

degrees in computer science from the Basque Country University
(UPV/EHU), Donostia, Spain, in 2005 and 2012 respectively.
Since 2012, he is a posdoctoral researcher at the Images-Signal
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Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - September 2015