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cover-type classes had similar density values in all three channels,
which resulted in classification errors. Even after canonical trans
formation (Fig. 2), which was done to improve class separability,
several class densities were still too close for adequate discrimina
tion. The confusion occurred mainly with features of high reflectance,
such as light-colored roof tops, bare soil, concrete, and the sludge
storage and thickener tanks.
Figure 2. Classification of the color scene.
After construction of the best possible classification maps, the two
classified scenes were digitally compared pixel-by-pixel. The compari
son map was confusing and contained many identification errors (Fig. 3).
The results from this method were influenced by several problems. First,
the difference in sun angle between the two scenes introduced two prob
lems. Because the photos were exposed at different seasons and at dif
ferent times of the day, the shadows differed in the two scenes. There
fore, although the shadows were often in unchanged areas, these areas
would map out as having changed. The sun angle also affected the
reflectance of many features, resulting in different densities for the
Figure 3. Digital comparison of Figures 1 and 2. Light gray
represents changed areas.