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<H4>PARALLELEPIPED</H4>
The parallelepiped classifier uses the class limits (LOLIM) and
(UPLIM) stored in each class signature to determine if a given pixel
falls within the class or not. The class limits specify the
dimensions (in standard deviation units) of each side of a
parallelepiped surrounding the mean of the class in feature space.
If the pixel falls inside the parallelepiped, it is assigned to the
class. However, if the pixel falls within more than one class, it is
put in the overlap class (code 255). If the pixel does not fall
inside any class, it is assigned to the null class (code 0).<p>
The parallelepiped classifier is typically used when speed is
required. The draw back is (in many cases) poor accuracy and a large
number of pixels classified as ties (or overlap, class 255).
<P>
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