April 2013
Intermediate to advanced
1164 pages
39h 37m
English
Content preview from Hyperspectral Data Processing: Algorithm Design and AnalysisBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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13.4 Relationship Between FVC-FLSMA and OSP
If we replace 
in (13.12) with 
defined in (2.86), then the resulting weight vector 
becomes the least squares OSP (LSOSP) in Tu et al. (1997) and Chang (2003a):
With this interpretation, FVC-FLSMA can be considered as a discriminant analysis version of OSP. Additionally, 
is also idempotent. We can define a linear transformation by 
and 
where r is an image pixel vector. The resulting image with pixel vectors described by 
is called the 
-whitened hyperspectral image. Let be the -whitened lth class mean defined by . Equation (13.23) is reduced ...
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