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 |
TU4.4.1: L1-GRAPH SEMISUPERVISED LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION |
Yanfeng Gu; Harbin Institute of Technology |
Kai Feng; Harbin Institute of Technology |
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 |
TU4.4.3: 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 |
TU4.4.4: 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) |
TU4.4.5: 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 |