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 |