TU1.L1: High Resolution Classification Methods

Session Type: Oral
Time: Tuesday, July 25, 08:00 - 09:40
Location: Ballroom B
Session Chairs: Fabio Pacifici, DigitalGlobe, Claudia Paris, University of Trento and Minh-Tan Pham, Université Bretagne-Sud
 
08:00 - 08:20
TU1.L1.1: CLASSIFICATION OF VHR REMOTE SENSING IMAGES USING LOCAL FEATURE-BASED ATTRIBUTE PROFILES
         Minh-Tan Pham; Université Bretagne Sud
         Sébastien Lefèvre; Université Bretagne Sud
         Erchan Aptoula; Gebze Technical University
         Bharath Bhushan Damodaran; Université Bretagne Sud
 
08:20 - 08:40
TU1.L1.2: PRODUCTION OF A GLOBAL FOREST/NON-FOREST MAP UTILIZING TANDEM-X INTERFEROMETRIC SAR DATA
         Christopher Wecklich; German Aerospace Center (DLR)
         Michele Martone; German Aerospace Center (DLR)
         Paola Rizzoli; German Aerospace Center (DLR)
         José-Luis Bueso-Bello; German Aerospace Center (DLR)
         Carolina Gonzalez; German Aerospace Center (DLR)
         Gerhard Krieger; German Aerospace Center (DLR)
 
08:40 - 09:00
TU1.L1.3: NEURAL NETWORK HYPERSPECTRAL UNMIXING WITH SPECTRAL INFORMATION DIVERGENCE OBJECTIVE
         Frosti Palsson; University of Iceland
         Jakob Sigurdsson; University of Iceland
         Jóhannes Sveinsson; University of Iceland
         Magnús Úlfarsson; University of Iceland
 
09:00 - 09:20
TU1.L1.4: FUSING DIFFERENT LEVELS OF DEEP FEATURES BY DEEP STACKED NEURAL NETWORK FOR HYPERSPECTRAL IMAGES
         Shaohui Mei; Northwestern Polytechnical University
         Yanfu Chen; Northwestern Polytechnical University
         Jingyu Ji; Northwestern Polytechnical University
         Junhui Hou; City Univeristy of Hong Kong
         Qian Du; Mississippi State University
 
09:20 - 09:40
TU1.L1.5: CAUSAL INFERENCE IN GEOSCIENCES WITH KERNEL SENSITIVITY MAPS
         Adrian Perez-Suay; Universitat de València
         Gustau Camps-Valls; Universitat de València