Two visualization techniques based on nonlinear projections for fusing
multispectral image data sets into a single most informative gray-sca
le image are described. These techniques are fast, theoretically attra
ctive, complement linear techniques, and may be of value in highlighti
ng specific regions where the component images should be examined in d
etail.