FR4.W1: Classification and Validation Techniques

Session Type: Oral
Time: Friday, July 31, 15:40 - 17:20
Location: White 1
Session Chairs: Francesca Bovolo, University of Trento and Craig Donlon, European Space Agency
 
FR4.W1.1: THE EFFECT OF MIS-LABELED TRAINING DATA ON THE ACCURACY OF SUPERVISED IMAGE CLASSIFICATION BY SVM
         Giles Foody; University of Nottingham
 
FR4.W1.2: IDENTIFICATION AND CORRECTION OF MISLABELED TRAINING DATA FOR LAND COVER CLASSIFICATION BASED ON ENSEMBLE MARGIN
         Wei Feng; Bordeaux INP
         Samia Boukir; Bordeaux INP
         Li Guo; Bordeaux INP
 
FR4.W1.3: RELIABILITY ASSESSMENT FOR REMOTE SENSING DATA: BEYOND COHEN'S KAPPA
         GrĂ©goire H. G. Kerr; German Aerospace Center (DLR)
         Christian Fischer; German Aerospace Center (DLR)
         Ralf Reulke; German Aerospace Center (DLR)
 
FR4.W1.4: A GROUND TRUTH DESIGN TOOL FOR MULTIRESOLUTION IMAGES
         Giuseppe Masi; University Federico II
         Raffaele Gaetano; University Federico II
         Giovanni Poggi; University Federico II
         Giuseppe Scarpa; University Federico II
 
FR4.W1.5: A BENCHMARK FOR SCENE CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGERY
         Jingwen Hu; Wuhan University
         Tianbi Jiang; Wuhan University
         Xinyi Tong; Wuhan University
         Gui-Song Xia; Wuhan University
         Liangpei Zhang; Wuhan University