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TU4.4: Classification of Hyperspectral Data

Session Type: Oral
Time: Tuesday, July 24, 15:40 - 17:20
Location: Room 4B
Session Chairs: Yasushi Yamaguchi, Nagoya University and Begum Demir, University of Trento
 
  TU4.4.TU4.4.1: L1-GRAPH SEMISUPERVISED LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Yanfeng Gu; Harbin Institute of Technology
         Kai Feng; Harbin Institute of Technology
 
  TU4.4.TU4.4.2: LOCALITY-PRESERVING NONNEGATIVE MATRIX FACTORIZATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Wei Li; Mississippi State University
         Saurabh Prasad; University of Houston
         James Fowler; Mississippi State University
         Minshan Cui; University of Houston
 
  TU4.4.TU4.4.3: IMPROVED HIERARCHICAL OPTIMIZATION-BASED CLASSIFICATION OF HYPERSPECTRAL IMAGES USING SHAPE ANALYSIS
         Yuliya Tarabalka; Institut National de Recherche en Informatique et en Automatique (INRA) Sophia Antipolis Méditérranée
         James C. Tilton; NASA Goddard Space Flight Center
 
  TU4.4.TU4.4.4: NEW APPROACHES ON DIMENSIONALITY REDUCTION IN HYPERSPECTRAL IMAGES FOR CLASSIFICATION PURPOSES
         Daniele Cerra; German Aerospace Center (DLR)
         Jakub Bieniarz; German Aerospace Center (DLR)
         Rupert Mueller; German Aerospace Center (DLR)
         Peter Reinartz; German Aerospace Center (DLR)
 
  TU4.4.TU4.4.5: ROBUST CLASSIFICATION OF HYPERSPECTRAL IMAGES BASED ON THE COMBINATION OF SUPERVISED AND UNSUPERVISED LEARNING PARADIGMS
         Naif Alajlan; King Saud University
         Yakoub Bazi; King Saud University
         Haikel Hichri; King Saud University
         Essam Othman; King Saud University