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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256 Supervised Classification Part 1
Listing 6.7: Excerpt from the Pytho n module supervisedclass.py.
1 DEF __i nit__ (self , Gs ,ls , L):
2 # setup the n etwork arc hitect ure
3 self . _L = L
4 self ._m , self . _N = Gs . shap e
5 self . _K = ls . shape [1]
6 # biased input as colum n vecto rs
7 Gs = np . mat ( Gs ). T
8 self . _Gs = np . vsta ck (( np . ones ( self ._m ),Gs ))
9 # biased ou tput vecto r from hidde n layer
10 self . _n = np . mat ( np . zeros ( L +1))
11 # labe ls as col umn v ectors
12 self . _ls = np . mat (ls ). T
13 # weig ht m atrice s
14 self . _Wh = np . mat ( np . ra ndom . \
15 random (( self . _N +1 , L ))) -0.5
16 self . _Wo = n
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