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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

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

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)

MO3.L2.3: BAND SELECTION OF HYPERSPECTRAL DATA WITH LOW-RANK DOUBLY STOCHASTIC MATRIX DECOMPOSITION

Jiming Li; Zhejiang Police College

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

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