IEEE Geoscience and Remote Sensing Magazine - June 2019 - 171

remote sensing, (flying) robotics, and 3D vision. He is a
Member of the IEEE.
Sébastien Lefèvre (sebastien.lefevre@irisa.fr) received
his M.Sc. degree in 1999 from the Technische Universität
Compiègne, France, his Ph.D. degree in 2002 from the
University of Tours, France, and his French Habilitation
degree in 2009 from the University of Strasbourg, France.
He is a full professor in computer science at the University
Bretagne Sud, Institute for Research in Computer Science
and Random Systems, Vannes, France, since 2010. He is
leading the Observation de l'Environnement par Imagerie
Complexe team dedicated to image analysis and machine
learning for remote sensing and Earth observation (http://
www.irisa.fr/obelix). He has coauthored more than 140 papers in image analysis and pattern recognition. His current
research interests are mainly related to hierarchical image
analysis and deep learning applied to remote sensing of
the environment. He was cochair of the 2016 Geographic
Object-Based Image Analysis Conference and is cochair of
the 2019 Joint Urban Remote Sensing Event.
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http://www.grss-ieee.org/community/technical-committees/data-fusion http://www.grss-ieee.org/community/technical-committees/data-fusion http://www.irisa.fr/obelix http://www.irisa.fr/obelix https://ntrs.nasa.gov/search.jsp?R=19940012238
IEEE Geoscience and Remote Sensing Magazine - June 2019

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