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The Class covariance matric Wç which is a measure of Class dispersion within
the training area is defined by:
where diagonal components are variances of distributions in single spectral
bands of Class C and the off-diagonal components are covariances of
distributions in combinations of two spectral bands.
The mean spectral vector Gç and covariance matric W c define the
multivariate gaussian probability density function of Class C (Landgrebe et
al., 1968; Scherk, 1974):
M
(G,
i J)
(2tt) N/2 |W.
exp [- i (G.
G / V 1 ( G i,j
G c )]
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NW is probability of occurrence of spectral vector G^ • in
iJ Class C
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