Two input maps were used for comparing the FSM sequential implementation to the HK implementation in Berry et al. (1994) and to the FSM parallel implementation on the CM-5. The first map is a ERDAS/Lan map (FIRE) containing fire patterns from the Southern Yellowstone National Park. The FIRE map is composed of ten map classes each with different pixel densities, number of clusters, and cluster sizes. Table 5 lists the map class statistics of the FIRE map which was supplied by Dr. Robert Gardner of the Oak Ridge National Laboratory, Environmental Science Division (Hargrove et al., 1995). The second map is a ERDAS/Lan map (FORD) containing pre-classification values, obtained from applying a classification function on four or five of the inputs from thematic mapper imagery (Ford et al., 1994). The original inputs are sensor readings (wavelengths) from different parts of the electro-magnetic spectrum. The pixel values in the input map are arbitrary values that represent map class membership. The values are logically significant, but not numerically. A data value of 8 is not necessarily closer to a data value of 9 than it is to any other value (0-31). Table 6 lists the map class statistics for the FORD map, which was supplied by Dr. Ray Ford from the Department of Computer Science at the University of Montana and the Wildlife Spatial Analysis Laboratory directed by Dr. Roland Redmond at the University of Montana.
Table 5: Statistics for the 9 map classes of the FIRE map ( pixels).
Table 6: Statistics for the 31 map classes of the FORD map ( pixels).