MO3.L2: Hyperspectral Band Selection and Dimensionality Reduction

Session Type: Oral
Time: Monday, July 11, 13:30 - 15:10
Location: Room 311B
Session Chairs: Shen-En Qian, Canadian Space Agency and Antonio Plaza, University of Extremadura
 
13:30 - 13:50
MO3.L2.1: CLODD BASED BAND GROUP SELECTION
         Muhammad Aminul Islam; Mississippi State University
         Derek Anderson; Mississippi State University
         John Ball; Mississippi State University
         Nicolas Younan; Mississippi State University
 
13:50 - 14:10
MO3.L2.2: LOCAL MANIFOLD LEARNING WITH ROBUST NEIGHBORS SELECTION FOR HYPERSPECTRAL DIMENSIONALITY REDUCTION
         Dan Feng Hong; German Aerospace Center (DLR)
         Naoto Yokoya; German Aerospace Center (DLR);Technical University of Munich (TUM); The University of Tokyo
         Xiao Xiang Zhu; German Aerospace Center (DLR);Technical University of Munich (TUM)
 
14:10 - 14:30
MO3.L2.3: BAND SELECTION OF HYPERSPECTRAL DATA WITH LOW-RANK DOUBLY STOCHASTIC MATRIX DECOMPOSITION
         Jiming Li; Zhejiang Police College
 
14:30 - 14:50
MO3.L2.4: AN OPTIMIZED METHOD OF KERNEL MINIMUM NOISE FRACTION FOR DIMENSIONALITY REDUCTION OF HYPERSPECTRAL IMAGERY
         Bin Zhao; University of Chinese Academy of Sciences
         Lianru Gao; University of Chinese Academy of Sciences
         Bing Zhang; University of Chinese Academy of Sciences
 
14:50 - 15:10
MO3.L2.5: DIMENSIONALITY REDUCTION OF HYPERSPECTRAL IMAGES WITH LOCAL GEOMETRIC STRUCTURE FISHER ANALYSIS
         Fulin Luo; Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University
         Hong Huang; Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University
         Yaqiong Yang; Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University
         Zhiyong Lv; School of Computer Science and Engineering, Xian University of Technology