THP.PD: Computer Vision for Classification

Session Type: Poster
Time: Thursday, July 30, 17:20 - 19:00
Location: Poster Area D
Session Chair: Devis Tuia, University of Zurich
 
THP.PD.1: AN ACTIVE LEARNING HEURISTIC USING SPECTRAL AND SPATIAL INFORMATION FOR MRF-BASED CLASSIFICATION
         Bo Hu; Institute of Remote Sensing and Geographical Information System, Peking University
         Gabriele Moser; Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Italy
         Sebastiano Bruno Serpico; Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, Italy
         Peijun Li; Institute of Remote Sensing and Geographical Information System, Peking University
 
THP.PD.2: CAN WE AUTOMATICALLY CHOOSE BEST UNCERTAINTY HEURISTICS FOR LARGE MARGIN ACTIVE LEARNING ?
         Ines Ben Slimene Ben Amor; Ecole National des Sciences de l'Informatique
         Nesrine Chehata; Bordeaux INP,G& E EA 4592
         Philippe Lagacherie; INRA UMR LISAH
         Jean-St├ęphane Bailly; AgroParisTech UMR LISAH
         Imed Riadh Farah; Ecole National des Sciences de l'Informatique
 
THP.PD.3: A NOVEL DICTIONARY LEARNING METHOD FOR REMOTE SENSING IMAGE CLASSIFICATION
         Michael Ying Yang; TU Dresden
         Tao Jiang; Leibniz University Hannover
         Saif Al-Shaikhli; Leibniz University Hannover
         Bodo Rosenhahn; Leibniz University Hannover
 
THP.PD.4: A NOVEL CONTEXTUAL CLASSIFIER BASED ON SVM AND MRF FOR REMOTE SENSING IMAGES
         Ali Masjedi; Khaje Nasir Toosi University of Technology
         Yasser Maghsoudi; Khaje Nasir Toosi University of Technology
         Mohammad Javad Valadan Zoej; Khaje Nasir Toosi University of Technology
 
THP.PD.5: A MULTI-TIER HIGHER ORDER CONDITIONAL RANDOM FIELD FOR LAND COVER CLASSIFICATION OF MULTI-TEMPORAL MULTI-SPECTRAL LANDSAT IMAGERY
         Brian Salmon; University of Tasmania
         Waldo Kleynhans; University of Pretoria
         Jc Olivier; University of Tasmania
         Colin Schwegmann; University of Pretoria
         Willem Olding; University of Tasmania
 
THP.PD.6: HIDDEN CONDITIONAL RANDOM FIELDS FOR LAND-USE CLASSIFICATION
         Alexei Skurikhin; Los Alamos National Laboratory
 
THP.PD.7: SPECTRAL-SPATIAL CONDITIONAL RANDOM FIELD CLASSIFIER WITH LOCATION CUES FOR HIGH SPATIAL RESOLUTION IMAGERY
         Ji Zhao; Wuhan University
         Yanfei Zhong; Wuhan University
         Hong Shu; Wuhan University
         Liangpei Zhang; Wuhan University
 
THP.PD.8: TRANSFER LEARNING BASED ON EXTREME LEARNING MACHINE FOR REMOTE SENSING IMAGE CLASSIFICATION
         Min Han; Dalian University of Technology
         Xue Yang; Dalian University of Technology
 
THP.PD.9: A HIERARCHICAL LEARNING PARADIGM FOR SEMI-SUPERVISED CLASSIFICATION OF REMOTE SENSING IMAGES
         Haikel Alhichri; King Saud University
         Yacoub Bazi; King Saud University
         Naif Alajlan; King Saud University
         Nassim Ammour; King Saud University
 
THP.PD.10: A COMPARISON OF BAG-OF-WORDS METHOD AND NORMALIZED COMPRESSION DISTANCE FOR SATELLITE IMAGE RETRIEVAL
         Shiyong Cui; German Aerospace Center (DLR)
         Mihai Datcu; German Aerospace Center (DLR)
 
THP.PD.11: A FEATURE COMBINING SPATIAL AND STRUCTURAL INFORMATION FOR SAR IMAGE CLASSIFICATION
         Dong Dong Guan; National University of Defense Technology
         Tao Tang; National University of Defense Technology
         Lingjun Zhao; National University of Defense Technology
         Jun Lu; National University of Defense Technology