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<H4>TIES</H4>
The Ties classifier is a cross between the parallelepiped classifier
and the full maximum likelihood classifier. The basic concept is to
use parallelepiped classification unless we have a tie (overlap) in
which case the tie is resolved by using full maximum likelihood
classification.<p>
This type of classification is an attempt to gain the speed of the
parallelepiped classifier while eliminating the large number of
pixels classed as ties (overlap).<p>
Typically the Ties approach is used as a preliminary to the full
maximum likelihood classification.
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