1 National Space Institute, Technical University of Denmark2 Geodesy, National Space Institute, Technical University of Denmark3 Department of Informatics and Mathematical Modeling, Technical University of Denmark4 Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark5 Department of Applied Mathematics and Computer Science, Technical University of Denmark6 unknown
This paper describes canonical discriminant analysis and sketches an iterative version which is then applied to obtain optimal separation between a region, here examplified by either “water” or “wood/trees” and the rest of a HyMap image. We show that the iterative version greatly enhances the separation between the regions.
Two-class discrimination; HyMap
Main Research Area:
Third Annual Hyperspectral Imaging Conference (HSI2012), 2012