TU2.T08: Spectral Unmixing of Hyperspectral Data II

Session Type: Oral
Time: Tuesday, July 26, 10:20 - 12:00
Location: Ballroom A
Session Chair: Yasushi Yamaguchi, Nagoya University
 
TU2.T08.1: NOISE-ROBUST SPATIAL PREPROCESSING PRIOR TO ENDMEMBER EXTRACTION FROM HYPERSPECTRAL DATA
         Gabriel Martin; Hyperspectral Computing Laboratory
         Antonio Plaza; Hyperspectral Computing Laboratory
         Maciel Zortea; Department of Mathematics and Statistics
 
TU2.T08.2: ROBUST UNMIXING OF HYPERSPECTRAL IMAGES: APPLICATION TO MARS
         Mario Parente; Brown University
         John Mustard; Brown University
         Scott Murchie; Applied Physics Lab Johns Hopkins University
         Frank Seelos; Applied Physics Lab Johns Hopkins University
 
TU2.T08.3: NON-LINEAR FULLY-CONSTRAINED SPECTRAL UNMIXING
         Rob Heylen; University of Antwerp
         Paul Scheunders; University of Antwerp
 
TU2.T08.4: BLIND SOURCE SEPARATION OF HYPERSPECTRAL DATA IN PLANETARY REMOTE SENSING: ENDMEMBER EXTRACTION AND VALIDATION
         Xavier Ceamanos; Institut de Planétologie et d’Astrophysique de Grenoble
         Sylvain Douté; Institut de Planétologie et d’Astrophysique de Grenoble
         Bin Luo; GIPSA-Laboratory / Grenoble Institute of Technology
         Frédéric Schmidt; Laboratoire IDES
         Gwenaël Jouannic; Laboratoire IDES
         Jocelyn Chanussot; GIPSA-Laboratory / Grenoble Institute of Technology
 
TU2.T08.5: MINIMUM ENDMEMBER-WISE DISTANCE CONSTRAINED NONNEGATIVE MATRIX FACTORIZATION FOR SPECTRAL MIXTURE ANALYSIS OF HYPERSPECTRAL IMAGES
         Shaohui Mei; Northwestern Polytechnical University
         Mingyi He; Northwestern Polytechnical University