June 2014
Intermediate to advanced
576 pages
16h 43m
English
book
Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Edition
by Morton J. Canty
Content preview from Image Analysis, Classification and Change Detection in Remote Sensing, 3rd Edition
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Exercises 125
FIGURE 3.12
Two classes of observations in a two-dimensional feature space. The solid
lines are the principal axes; see Listing 3.10.
where C
B
= (m
1
− m
2
)(m
1
− m
2
)
⊤
.
(b) Show that the desir ed projection directio n is given by
w = (C
1
+ C
2
)
−1
(m
1
− m
2
). (3.82)
(c) Modify the program in Listing 3.10 to calculate and plot the projec-
tion direction w.
14. Using the code in Listings 3.6 a nd 3.8 (IDL) or Listing s 3.7 and 3.9
(Python) as a starting point, write a procedure to perform the MNF
transformatio n on a multispectral image. If you are using ENVI/IDL,
compare your output with ENVI’s MNF procedure.
15. Show from Equation (3.50) tha t the variance ...
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