ICIP 2017 | 2017 IEEE International Conference on Image Processing | 17-20 September 2017 | Beijing, China
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TA-PF: Color and Multispectral Imaging

Session Type: Poster
Time: Tuesday, September 19, 10:30 - 12:00
Location: Poster Area F
Session Chair: Xiao-Ping Zhang, Ryerson University
 
  TA-PF.1: SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGES USING LOCAL-RECEPTIVE-FIELDS-BASED KERNEL EXTREME LEARNING MACHINE
         Yu Shen; Nanjing University of Science and Technology
         Jianyu Chen; Second Institute of Oceanography, State Oceanic Administration
         Liang Xiao; Nanjing University of Science and Technology
 
  TA-PF.2: TUNABLE COLOR CORRECTION BETWEEN LINEAR AND POLYNOMIAL MODELS FOR NOISY IMAGES
         Ryo Yamakabe; Tokyo Institute of Technology
         Yusuke Monno; Tokyo Institute of Technology
         Masayuki Tanaka; Tokyo Institute of Technology
         Masatoshi Okutomi; Tokyo Institute of Technology
 
  TA-PF.3: ROBUST JOINT SPARSITY MODEL FOR HYPERSPECTRAL IMAGE CLASSIFICATION
         Shaoguang Huang; Ghent University
         Hongyan Zhang; Wuhan University
         Wenzhi Liao; Ghent University
         Aleksandra Pizurica; Ghent University
 
  TA-PF.4: COLOUR NORMALIZATION OF FUNDUS IMAGES BASED ON GEOMETRIC TRANSFORMATIONS APPLIED TO THEIR CHROMATIC HISTOGRAM
         Adrián Colomer; Universitat Politècnica de València
         Valery Naranjo; Universitat Politècnica de València
         Jesús Angulo; MINES Paristech
 
  TA-PF.5: ROBUST LINEAR UNMIXING WITH ENHANCED SPARSITY
         Alexandre Tiard; University of California, Los Angeles
         Laurent Condat; University Grenoble Alpes, CNRS, GIPSA-lab, F-38000 Grenoble
         Lucas Drumetz; University Grenoble Alpes, CNRS, GIPSA-lab, F-38000 Grenoble
         Jocelyn Chanussot; University Grenoble Alpes, CNRS, GIPSA-lab, F-38000 Grenoble
         Wotao Yin; University of California, Los Angeles
         Xiaoxian Zhu; German Aerospace Center (DLR)