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SUMMARY:High Resolution Optical and SAR Satellite Image Processing for Dis
 aster Management using Hierarchical MRFs    - Prof. Josiane Zerubia\, IEEE
  Distinguished Lecturer\, INRIA\, France 
DTSTART:20161202T150000Z
DTEND:20161202T160000Z
UID:TALK69356@talks.cam.ac.uk
CONTACT:Prof. Ramji Venkataramanan
DESCRIPTION:In this talk\, we describe a novel classification approach for
  multi-resolution\, multi-sensor (optical and synthetic aperture radar (SA
 R)) and/or multi-band images. This challenging image processing problem is
  of great importance for various remote sensing monitoring applications an
 d has been scarcely addressed so far. To deal with this classification pro
 blem\, we propose a two-step explicit statistical model. We first design a
  model for the multi-variate joint class-conditional statistics of the co-
 registered input images at each resolution. We then plug the estimated joi
 nt probability density functions into a hierarchical Markovian model based
  on a quad-tree structure\, where each tree-scale corresponds to the diffe
 rent input image resolutions and to the corresponding multi-scale decimate
 d wavelet transforms\, thus preventing a strong re-sampling of the initial
  images. To obtain the classification map\, we resort to an estimator of t
 he marginal posterior mode. We integrate a prior update in this model in o
 rder to improve the robustness of the proposed classifier against noise an
 d speckle. The resulting classification performance is illustrated on seve
 ral remote sensing multi-resolution datasets including very high resolutio
 n and multi-sensor images acquired by COSMO-SkyMed and GeoEye-1 satellites
 .\n\n\n_This talk is supported by the IEEE through the IEEE Distinguished 
 Lecturer program._\n\n\n*BIO*: Josiane Zerubia has been a permanent resear
 ch scientist at INRIA since 1989 and director of research since July 1995.
  She was head of the PASTIS remote sensing laboratory (INRIA Sophia-Antipo
 lis) from mid-1995 to 1997 and of  the Ariana research group (INRIA/CNRS/U
 niversity of Nice)\, which worked on inverse problems in remote sensing an
 d biological imaging\, from 1998 to 2011. Since January 2012\, she has bee
 n head of Ayin research group (INRIA-SAM) dedicated to models of spatio-te
 mporal structure for high resolution image processing with a focus on remo
 te sensing and skincare imaging.  She has been professor at SUPAERO (ISAE)
  in Toulouse since 1999. Before that\, she was with the Signal and Image P
 rocessing Institute of the University of Southern California (USC) in Los-
 Angeles as a postdoc. She also worked as a researcher for the LASSY (Unive
 rsity of Nice/CNRS) from 1984 to 1988 and in the Research Laboratory of He
 wlett Packard in France and in Palo-Alto (CA) from 1982 to 1984. She recei
 ved the MSc degree from the Department of Electrical Engineering at ENSIEG
 \, Grenoble\, France in 1981\, the Doctor of Engineering degree\, her PhD 
 and her ‘Habilitation’\, in 1986\, 1988\, and 1994 respectively\, all 
 from the University of Nice Sophia-Antipolis\, France.\n\nShe is a Fellow 
 of the IEEE (2003- ) and IEEE SP Society Distinguished Lecturer (2016-2017
 ). She was a member of the IEEE IMDSP TC (SP Society) from 1997 till 2003\
 , of the IEEE BISP TC (SP Society) from 2004 till 2012 and of the IVMSP TC
  (SP Society) from 2008 till 2013. She was associate editor of IEEE Trans.
  on IP from 1998 to 2002\, area editor of IEEE Trans. on IP from 2003 to 2
 006\, guest co-editor of a special issue of IEEE Trans. on PAMI in 2003\, 
 member of the editorial board of IJCV from 2004 till March 2013 and member
 -at-large of the Board of Governors of the IEEE SP Society from 2002 to 20
 04. She has also been a member of the editorial board of the French Societ
 y for Photogrammetry and Remote Sensing (SFPT) since 1998\, of the Foundat
 ion and Trends in Signal Processing since 2007 and member-at-large of the 
 Board of Governors of the SFPT since September 2014. She has been associat
 e editor of the on-line resource « Earthzine » (IEEE CEO and GEOSS) sin
 ce 2006. \n\nHer main research interest is in image processing using proba
 bilistic models. She also works on parameter estimation\, statistical lear
 ning and optimization techniques. \n
LOCATION:LR4\, Cambridge University Engineering Department
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