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My IGARSS 2013 Schedule

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TUP.P6: Hyperspectral Techniques II

Session Type: Poster
Time: Tuesday, July 23, 17:20 - 19:00
Location: Ground Floor Foyer, Poster Area
Session Chairs: Alina Zare, University of Missouri and Ryuei Nishii, Kyushu University
 
  TUP.P6.39: FEATURE EXTRACTION FOR HYPERSPECTRAL DATA BASED ON MNF AND SINGULAR VALUE DECOMPOSITION
         Jun-Zheng Wu; Northwest Institute of Nuclear Technology
         Wei-Dong Yan; Northwest Institute of Nuclear Technology
         Wei-Ping Ni; Northwest Institute of Nuclear Technology
         Hui Bian; Northwest Institute of Nuclear Technology
 
  TUP.P6.40: HYPERSPECTRAL IMAGE CLASSIFICATION USING PRIMAL LAPLACIAN SVM IN PRECONDITIONED CONJUGATE GRADIENT SOLUTION
         Xiaoli Ma; School of Information Science and Engineering, Xiamen University
         Wang Cheng; School of Information Science and Engineering, Xiamen University
         Zhuo Sun; School of Information Science and Engineering, Xiamen University
         Chenglu Wen; School of Information Science and Engineering, Xiamen University
         Jonathan Li; School of Information Science and Engineering, Xiamen University
 
  TUP.P6.41: PARALLEL OPTIMIZATION OF HYPERSPECTRAL UNMIXING BASED ON SPARSITY CONSTRAINED NONNEGATIVE MATRIX FACTORIZATION
         Zebin Wu; Nanjing University of Science and Technology
         Shun Ye; Nanjing University of Science and Technology
         Jie Wei; Nanjing University of Science and Technology
         Jianjun Liu; Nanjing University of Science and Technology
         Zhihui Wei; Nanjing University of Science and Technology
         Le Sun; Nanjing University of Science and Technology
 
  TUP.P6.42: CONSTRUCTION OF SPARSE BASIS BY DICTIONARY TRAINING FOR COMPRESSIVE SENSING HYPERSPECTRAL IMAGING
         Chuan-Rong Li; Academy of Opto-Electronics, Chinese Academy of Sciences
         Lingling Ma; Academy of Opto-Electronics, Chinese Academy of Sciences
         Qi Wang; Academy of Opto-Electronics, Chinese Academy of Sciences
         Yong-sheng Zhou; Academy of Opto-Electronics, Chinese Academy of Sciences
         Ning Wang; Academy of Opto-Electronics, Chinese Academy of Sciences
 
  TUP.P6.43: PARALLEL SPARSE UNMIXING OF HYPERSPECTRAL DATA
         Jose Alves; Instituto de Telecomunicações
         Jose Nascimento; Instituto de Telecomunicações
         Jose Bioucas-Dias; Instituto de Telecomunicações
         Antonio J. Plaza; University of Extremadura
         Vitor Silva; Instituto de Telecomunicações
 
  TUP.P6.44: HYPERSPECTRAL DATA UNMIXING USING GNMF METHOD AND SPARSENESS CONSTRAINT
         Roozbeh Rajabi; Tarbiat Modares University
         Hassan Ghassemian; Tarbiat Modares University
 
  TUP.P6.45: REAL-TIME PROGRESSIVE BAND PROCESSING OF MODIFIED FULLY ABUNDANCE-CONSTRAINED SPECTRAL UNMIXING
         Guan-Sheng Huang; National Taipei University of Technology
         Chao-Cheng Wu; National Taipei University of Technology
         Keng-Hao Liu; Sinica Academia
         Chein-I Chang; University of Maryland, Baltimore County
 
  TUP.P6.46: SPECTRAL-SPATIAL CLASSIFICATION BASED ON INTEGRATED SEGMENTATION
         Pedram Ghamisi; University of Iceland
         Micael S. Couceiro; University of Coimbra
         Mathieu Fauvel; INP Toulouse
         Jon Atli Benediktsson; University of Iceland
 
  TUP.P6.47: ENDMEMBER DETECTION USING GRAPH THEORY
         Neda Rohani; University of Massachusetts Amherst
         Mario Parente; University of Massachusetts Amherst
         Arun Saranathan; University of Massachusetts Amherst
 
  TUP.P6.48: A POI-PRESERVING-BASED COMPRESSION METHOD FOR HYPERSPECTRAL IMAGE
         Cuiping Shi; Harbin Institute of Technology
         Junping Zhang; Harbin Institute of Technology
         Ye Zhang; Harbin Institute of Technology
         Hao Chen; Harbin Institute of Technology
 
  TUP.P6.49: REDUCING HYPERSPECTRAL DATA DIMENSIONALITY USING RANDOM FOREST BASED WRAPPERS
         Nitesh Poona; Stellenbosch University
         Riyad Ismail; University of KwaZulu-Natal
 
  TUP.P6.50: SEMI-SUPERVISED HYPERSPECTRAL BAND SELECTION VIA SPARSE LINEAR REGRESSION AND HYPERGRAPH MODELS
         Zhouxiao Guo; Beihang University
         Haichuan Yang; Beihang University
         Xiao Bai; Beihang University
         Zhihong Zhang; Xiamen University
         Jun Zhou; Griffith University
 
  TUP.P6.51: IMPROVED PRINCIPAL COMPONENT ANALYSIS BASED HYPERSPECTRAL IMAGE COMPRESSION METHOD
         Baisen Liu; Heilongjiang Institute of Technology
         Ye Zhang; Harbin Institute of Technology
         Wulin Zhang; Harbin Engineering University
 
  TUP.P6.52: AN AUTOMATIC ACCURACY EVALUATION APPROACH OF BAND REGISTRATION FOR MULTI-SPECTRAL IMAGERY
         Ying Zhu; Wuhan University
         Mi Wang; Wuhan University
         Jun Pan; Wuhan University
 
  TUP.P6.53: SUBSPACE CLUSTERING BASED ON DECISION FUSION STRATEGY FOR HYPERSPECTRAL IMAGERY
         Hongzan Jiao; Wuhan University
         Yanfei Zhong; Wuhan University
         Liangpei Zhang; Wuhan University
         Pingxiang Li; Wuhan University
 
  TUP.P6.54: CANONICAL CORRELATION ANALYSIS BASED FUSION OF INFRARED AND THERMAL INFRARED DATA
         Prashanth Reddy Marpu; Masdar Institute of Science and Technology
         Michele Lazzarini; Masdar Institute of Science and Technology
         Hosni Ghedira; Masdar Institute of Science and Technology
         Taha Bmj Ouarda; Masdar Institute of Science and Technology