This paper proposes a new approach for the color display of multispectral/hyperspectral images.The color representation of such data becomes problematic when the number of bands is higherthan three, i.e. the basic RGB (Red, Green, Blue) representation is not straightforward. Here weemploy a technique that uses a segmentation map, like an a priori information, and then computea Factorial Discriminant Analysis (Fischer analysis) in order to allow, at best, a distribution of theinformation in the color space HSV (Hue, Saturation, Value). The information collected from thesegmentation map (where each pixel is associated with class) has been shown to be advantages inthe representation of the images through the results obtained on increasing size image collections in the framework of astronomical images. This method can easily be applied to other domains such aspolarimetric or remote sensing imagery.
|Journal||Traitement du signal - Signal Processing|
|Publication status||Published - 2004|