Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior

M. Arngren, M. Schmidt and Jan Larsen

Journal of Signal Processing Systems

Bayesian Nonnegative Matrix Factorization with Volume Prior for Unmixing of Hyperspectral Images
M. Arngren, M. Schmidt and J. Larsen
MLSP Conference, 2009.

Kernel Based Subspace Projection of Near Infrared Hyperspectral mages of Maize Kernels
R. Larsen, M. Arngren, P. W. Hansen and A. A. Nielsen
SCIA Conference, 2009.

PAPER (1.5 MB)

POSTER(½ MB),

3-Way Modeling of Maize Kernels using Hyperspectral Image Analysis
M. Arngren and C. S. Pedersen
Technical Report, Jan. 2009.

Analyzing sensory neurons by extracting features from color image using linear models
M. Arngren
Technical Report, Jun. 2006.

Hyperspectral Image Analysis for Visualizing Grain Compounds
M. Arngren
Presentation at DSK Image Analysis, Sep. 2009

Bayesian Non-negative Matrix Factorization with Volume Prior
M. Arngren
Presentation at MLSP Conference in Grenoble, Aug. 2009 

Classification of Grain
M. Arngren
Internal presentation in FOSS Analytical A/S, Jun. 2008

Hyperspectral Image Analysis
M. Arngren
Internal presentation in FOSS Analytical A/S, Jan. 2008

Modelling Cognitive Representations
M. Arngren
Master Thesis, DTU Informatics, Mar. 2007

MATLAB Toolbox: Nonnegative Matrix Factorization with Volume Constraints
M. Arngren, M.N. Schmidt and J. Larsen
March 2010

v1.0 (<1MB)

MATLAB Toolbox: Bayesian Nonnegative Matrix Factorization with Volume Constraints
M.N. Schmidt, M. Arngren and J. Larsen
March 2010