FR3.T08: Advances in the Analysis of Hyperspectral Data

Session Type: Oral
Time: Friday, July 29, 13:20 - 15:00
Location: Ballroom A
Session Chair: Lorenzo Bruzzone, University of Trento
 
FR3.T08.1: ROBUST DETECTION USING THE SIRV BACKGROUND MODELLING FOR HYPERSPECTRAL IMAGING
         Jean-Philippe Ovarlez; Office National d’Études et de Recherches Aérospatiales (ONERA)
         Sze Kim Pang; DSO National Laboratories
         Frédéric Pascal; Supelec
         Véronique Achard; Office National d’Études et de Recherches Aérospatiales (ONERA)
         Teck Khim Ng; DSO National Laboratories
 
FR3.T08.2: LINEAR AND NONLINEAR IMAGING SPECTROMETER DENOISING ALGORITHMS ASSESSED THROUGH CHEMISTRY ESTIMATION
         David Goodenough; Natural Resources Canada
         Geoffrey S. Quinn; University of Victoria
         Piper Gordon; University of Victoria
         K. Olaf Niemann; University of Victoria
         Hao Chen; Natural Resources Canada
 
FR3.T08.3: ESTIMATION OF HYPERSPECTRAL COVARIANCE MATRICES
         Avishai Ben-David; Edgewood Chemical Biological Center, Research, Development, and Engineering Command
         Charles Davidson; Science and Technology Corporation
 
FR3.T08.4: A ROBUST SPECTRAL TARGET RECOGNITION METHOD FOR HYPERSPECTRAL DATA BASED ON COMBINED SPECTRAL SIGNATURES
         Xiao Fan; Harbin Institute of Technology
         Ye Zhang; Harbin Institute of Technology
         Feng Li; Harbin Institute of Technology
         Yushi Chen; Harbin Institute of Technology
         Tao Shao; Harbin Institute of Technology
         Shuang Zhou; Harbin Institute of Technology
 
FR3.T08.5: MANIFOLD ALIGNMENT FOR MULTITEMPORAL HYPERSPECTRAL IMAGE CLASSIFICATION
         Hsiuhan Lexie Yang; Purdue University
         Melba M. Crawford; Purdue University