WE1.W1: Classification Techniques

Session Type: Oral
Time: Wednesday, July 29, 08:20 - 10:00
Location: White 1
Session Chairs: Jocelyn Chanussot, Grenoble Institute of Technology and Andrea Garzelli, University of Siena
 
WE1.W1.1: PARAMETER OPTIMIZATION FOR MARKOV RANDOM FIELD MODELS FOR REMOTE SENSING IMAGE CLASSIFICATION THROUGH SEQUENTIAL MINIMAL OPTIMIZATION
         Andrea De Giorgi; University of Genoa
         Gabriele Moser; University of Genoa
         Sebastiano Bruno Serpico; University of Genoa
 
WE1.W1.2: FAST AND ACCURATE IMAGE CLASSIFICATION WITH HISTOGRAM BASED FEATURES AND ADDITIVE KERNEL SVM
         Begüm Demir; University of Trento
         Lorenzo Bruzzone; University of Trento
 
WE1.W1.3: AN ADVANCED CLASSIFIER FOR THE JOINT USE OF LIDAR AND HYPERSPECTRAL DATA: CASE STUDY IN QUEENSLAND, AUSTRALIA
         Pedram Ghamisi; University of Iceland
         Dan Wu; University of Queensland
         Gabriele Cavallaro; University of Iceland
         Jón Atli Benediktsson; University of Iceland
         Stuart Phinn; University of Queensland
         Nicola Falco; University of Iceland
 
WE1.W1.4: LANDCOVER CLASSIFICATION WITH SELF-TAUGHT LEARNING ON ARCHETYPAL DICTIONARIES
         Ribana Roscher; Freie Universität Berlin
         Christoph Römer; University of Bonn
         Björn Waske; Freie Universität Berlin
         Lutz Plümer; University of Bonn
 
WE1.W1.5: LBP-BASED MULTICLASS CLASSIFICATION METHOD FOR UAV IMAGERY
         Thomas Moranduzzo; University of Trento
         Mohamed L. Mekhalfi; University of Trento
         Farid Melgani; University of Trento