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My IGARSS 2014 Schedule

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FR4.02: Advanced Data Processing for the Analysis of Hyperspectral Images II

Session Type: Oral
Time: Friday, July 18, 15:40 - 17:20
Location: 2000-B
Session Chairs: Peter H. White, Natural Resources Canada and Josée Lévesque, Defense R&D Canada
 
  FR4.02.1: TOTAL VARIATION BASED HYPERSPECTRAL FEATURE EXTRACTION
         Behnood Rasti; University of Iceland
         Johannes R. Sveinsson; University of Iceland
         Magnus O. Ulfarsson; University of Iceland
 
  FR4.02.2: NON-LINEAR LOW-RANK AND SPARSE REPRESENTATION FOR HYPERSPECTRAL IMAGE ANALYSIS
         Frank de Morsier; École Polytechnique Fédérale de Lausanne
         Devis Tuia; École Polytechnique Fédérale de Lausanne
         Maurice Borgeaud; European Space Agency (ESA)
         Volker Gass; École Polytechnique Fédérale de Lausanne
         Jean-Philippe Thiran; École Polytechnique Fédérale de Lausanne
 
  FR4.02.3: HYPERSPECTRAL SUBSPACE LEARNING OF FOREST PHENOLOGY UNDER ORDER CONSTRAINTS
         Kuniaki Uto; Tokyo Institute of Technology
         Yukio Kosugi; Tokyo Institute of Technology
         Genya Saito; Tokyo Institute of Technology
 
  FR4.02.4: A NOVEL SEQUENTIAL SPECTRAL CHANGE VECTOR ANALYSIS FOR REPRESENTING AND DETECTING MULTIPLE CHANGES IN HYPERSPECTRAL IMAGES
         Sicong Liu; University of Trento
         Lorenzo Bruzzone; University of Trento
         Francesca Bovolo; University of Trento
         Peijun Du; Nanjing University
 
  FR4.02.5: COMBINING ROTATION FORESTS AND ADABOOST FOR HYPERSPECTRAL IMAGERY CLASSIFICATION USING FEW LABELED SAMPLES
         Fan Li; University of Waterloo
         Alexander Wong; University of Waterloo
         David Clausi; University of Waterloo