Full text: Proceedings of Symposium on Remote Sensing and Photo Interpretation (Volume 2)

774 
N 
G. 
i, 
W, 
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 )] 
The 
class 
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DICOM 
NW is probability of occurrence of spectral vector G^ • in 
iJ Class C 
The m 
class 
from 
chang 
great 
where
	        
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