Band selection in hyperspectral images based on the Fisher Linear Discriminant classifier Conference Paper uri icon


  • Abstract: Hyperspectral data consists of three dimensional images; the third dimension is the spectral signature of each pixel. The question always arises: which bands should be used and how should they be weighted. In this paper, a band selection algorithm based on the Fisher's Linear Discriminant classifier (FLD) is implemented. An initial segmentation of the image into two different classes (gas and background) is used as an input for the FLD. The combination of bands to be used is selected based on the FLD results.

publication date

  • November 17, 2010