No products are associated with this question.
Convert the RGB image to indexed. Change the colormap.
You need to do color classification on the image. Look in each spectral band and do whatever you need to do to get a classified image. This could be gray level segmentation, texture segmentation, or some higher level conceptual classification (trees, buildings, etc.). Once you have a gray level image where each number represents a class (e.g. 0=water, 1=forest, 2=road, 3=buildings), then you can apply a colormap to make it more visually distinct. Go here for articles on classification: http://iris.usc.edu/Vision-Notes/bibliography/contentscartog.html#Cartography,%20Aerial%20Images,%20Remote%20Sensing,%20Buildings,%20Roads,%20Terrain,%20ATR