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 |
[View Video] 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 |
[View Video] 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 |
[View Video] 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 |