The main class groups are the land, river bed and flooded areas. Flooded areas are grouped in two sub-classes. One for the regions that are under water on the day that flooding occurred, and the other for the regions those remain under water in the image taken 10 days after. The discrimination is achieved by operations through the hierarchical network, like subtracting the “land under water” classes from the general land class and assigning them to flood group, and subtracting the “flood” and “river bed” classes from the water class as subclasses. The classification results in three levels for a zoomed area are given in Consequently, resultant classification is not as general as level 3, and not noisy as level 1 classification. The classification result for the whole image is shown in figure 8.