TH4.T08: Machine Learning for the Classification of Hyperspectral Data

Session Type: Oral
Time: Thursday, July 28, 15:20 - 17:00
Location: Ballroom A
Session Chair: Yasushi Yamaguchi, Nagoya University
 
TH4.T08.1: CRITICAL CLASS ORIENTED ACTIVE LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Wei Di; Purdue University
         Melba M. Crawford; Purdue University
 
TH4.T08.2: COMBINING ENSEMBLE TECHNIQUE OF SUPPORT VECTOR MACHINES WITH THE OPTIMAL KERNEL METHOD FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Bor-Chen Kuo; National Taichung University of Education
         I-Ling Chen; National Taichung University of Education
         Cheng-Hsuan Li; National Chiao Tung University
         Chih-Cheng Hung; Southern Polytechnic State University
 
TH4.T08.3: MAHALANOBIS KERNEL BASED ON PROBABILISTIC PRINCIPAL COMPONENT
         Mathieu Fauvel; DYNAFOR / INRA & University of Toulouse
         Alberto Villa; GIPSA-Laboratory / Grenoble Institute of Technology
         Jocelyn Chanussot; GIPSA-Laboratory / Grenoble Institute of Technology
         Jon Atli Benediktsson; GIPSA-Laboratory / Grenoble Institute of Technology
 
TH4.T08.4: A NEW SUBSPACE DISCRIMINANT ANALYSIS APPROACH FOR SUPERVISED HYPERSPECTRAL IMAGE CLASSIFICATION
         Jun Li; Hyperspectral Computing Laboratory
         Jose Bioucas-Dias; Instituto de Telecomunicacoes
         Antonio Plaza; Hyperspectral Computing Laboratory
 
TH4.T08.5: AUTOMATED HYPERSPECTRAL IMAGERY ANALYSIS VIA SUPPORT VECTOR MACHINES BASED MULTI-CLASSIFIER SYSTEM WITH NON-UNIFORM RANDOM FEATURE SELECTION
         Sathishkumar Samiappan; Mississippi State University
         Saurabh Prasad; Mississippi State University
         Lori Bruce; Mississippi State University