TUP.P9: Classification of Hyperspectral Image IV

Session Type: Poster
Time: Tuesday, July 12, 17:20 - 19:00
Location: Third Floor, South Hall, Poster Area
 
TUP.P9.45: A WEIGHTED MULTI-TASK JOINT SPARSE REPRESENTATION METHOD FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Jinliang An; Xidian University
         Yu Mo; Xidian University
         Zhi Guo; Xidian University
         Xiangrong Zhang; Xidian University
 
TUP.P9.46: A NOVEL UNSUPERVISED CLASSIFICATION APPROACH FOR HYPERSPECTRAL IMAGERY BASED ON SPECTRAL MIXTURE MODEL AND MARKOV RANDOM FIELD
         Yuan Fang; China University of Geosciences
         Linlin Xu; China University of Geosciences
         Xiao Sun; China University of Geosciences
         Longshan Yang; China University of Geosciences
         Yujia Chen; China University of Geosciences
         Junhuan Peng; China University of Geosciences
 
TUP.P9.47: RANDOM SUBSPACE BASED SPARSE REPRESENTATION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Lin He; South China University of Technology
         Yizhou Rao; South China University of Technology
 
TUP.P9.48: GABOR-BASED ACTIVE LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Jie Hu; Sun Yat-sen University
         Chenying Liu; Sun Yat-sen University
         Lin He; South China University of Technology
         Jun Li; Sun Yat-sen University
 
TUP.P9.49: A MODIFIED PTSVM CLASSIFICATION APPROACH FOR HYPERSPECTRAL IMAGE
         Kun Shang; China Aero Geophysical Survey and Remote Sensing Center for Land and Resources
         Xia Zhang; State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing and Digital Earth, CAS