WE2.T06: Machine Learning in Hyperspectral Imagery

Session Type: Oral
Time: Wednesday, July 24, 10:30 - 12:10
Location: Room 110
Session Chairs: Gustavo Camps-Valls, University of Valencia and Joshua Broadwater, The Johns Hopkins University
 
[View Video] WE2.T06.1: CREATE THE RELEVANT SPATIAL FILTERBANK IN THE HYPERSPECTRAL JUNGLE
         Devis Tuia; Ecole Polytechnique Fédérale de Lausanne
         Michele Volpi; University of Lausanne
         Mauro Dalla-Mura; Grenoble Institute of Technology
         Alain Rakotomamonjy; INSA Rouen
         Remi Flamary; Université de Nice Sophia Antipolis
 
[View Video] WE2.T06.2: SVM MODEL SELECTION BY HIGH DIMENSIONAL MODEL REPRESENTATION
         Huseyin Kaya; Istanbul Technical University
         Gulsen Taskin Kaya; Istanbul Technical University
         Okan K. Ersoy; Purdue University
 
[View Video] WE2.T06.3: DYNAMIC HYPERSPECTRAL EMBEDDING WITH A SPATIAL SENSITIVE GRAPH
         Dalton Lunga; Council for Scientific and Industrial Research in South Africa
         Okan Ersoy; Purdue University
 
[View Video] WE2.T06.4: SEMI-SUPERVISED HYPERSPECTRAL IMAGE CLASSIFICATION APPROACH USING SPECTRAL-SPATIAL INFORMATION
         Masamitsu Ochiai; Tokyo Institute of Technology
         Yukio Kosugi; Tokyo Institute of Technology
         Kuniaki Uto; Tokyo Institute of Technology
 
[View Video] WE2.T06.5: SPECTRAL-SPATIAL CLASSIFICATION FOR HYPERSPECTRAL DATA USING SVM AND SUBSPACE MLR
         Mahdi Khodadadzadeh; University of Extremadura
         Jun Li; University of Extremadura
         Antonio J. Plaza; University of Extremadura
         Hassan Ghassemian; Tarbiat Modares University
         Jose Bioucas-Dias; Instituto de Telecomunicações