## 3 Results
### Ruleset Adaptation  
Tables 4-9 document all of the fine-scale adjustments to the fuzzy rules made during the adaptation of the master ruleset from HOPE to each candidate site. We would like to emphasize that the adaptation process only pertains to the fuzzy rules but not to the segmentation process. Parameter settings of the segmentation algorithms (e.g., scale, shape, compactness values of the MRS algorithm) were fine tuned on a trial-and-error basis at each site until an acceptable segmentation quality was met. Because we wanted to elaborate on the concept of \"middleware ruleset\" [74] in this analysis, we primarily focused on the changes occurring to the most operative fuzzy rules in the master ruleset. From that respect, in addition to the information reported in Tables 4-9 there is always potential for having higher or lower levels in the class hierarchy and scene-specific fuzzy rules for the sake of high classification accuracy. Table 4 summarizes the ruleset adaptations pertaining to AITC. Of all rules, 10 membership functions exhibited Type F\({}^{b}\) changes while the others remained unchanged. The highest deviation (\(\delta F=4.98\)) was reported by Red/Green ratio rule under the class Guano. As seen on Table 5, BAIL reported three Type F\({}^{b}\) changes and one Type F\({}^{r}\) change at Level I while at Level II a majority of classes showed only Type F\({}^{b}\) changes. In the case of class Guano, the fuzzy membership function of Red/Green ratio remained intact while all other associated rules exhibited both limit (upper and lower) and range changes in their fuzzy membership functions. Of all fuzzy rules, the GLCM contrast rule marked the highest total deviation (\(\delta F\)) of 3.85. When the master ruleset was adapted to BIRD (Table 6), two membership functions remained unchanged at Level I, three membership functions exhibited no changes at Level II. With respect to the class Guano, the Red/Green ratio rule was intact, the GLCM contrast rule was kept inactive, and the remaining rules had changes in their fuzzy functions. As seen on Table 7, all of PAUL's fuzzy membership functions at both Level I and II have undergone Type F\({}^{b}\) changes. In certain instances, the membership function has shifted while keeping the range (\(\delta v\)) intact. For example, the Red/Green ratio rule of class Guano exhibited a positive shift from 0.90 to 0.95 (lower border) and 0.95 to 1.10 (upper border) while maintaining a zero change in the range (\(\delta v\)). In the case of class Guano, the highest deviation (\(\delta F\)) exhibited by GLCM dissimilarity while the lowest (0.07) was marked by the Red/Green ratio. Adaptation of the master rule set from HOPE to SPIN (Table 8) reported seven Type F\({}^{b}\) changes and one Type F\({}^{a}\) change. At Level II, five fuzzy membership functions showed no changes (\(\delta F=0\)); of those, three are associated with the class Guano, in which the border contrast rule was kept silent. Table 9 lists the ruleset adaptations associated with ZAVO. Under the class Guano, the border contrast rule was kept inactive, which contributed to a Type F\({}^{a}\) deviation. The distance to coastline rule remained unchanged while other rules contributed to Type F\({}^{b}\) changes, of those the GLCM dissimilarity rule marked the highest total deviation (\(\delta F=9.20\)).