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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Kalman filter training 449
Listing B.4: Excerpt from the object class FFNKAL.
1 PRO FFNKAL :: train , key = key
2 IF n_el ements ( key ) EQ 0 THEN key =0
3 ; defin e up date ma trices for Wh and Wo
4 dWh = dblarr ( self .LL , self . NN +1)
5 dWo = dblarr ( self .KK , self . LL +1)
6 iter = 0L
7 it er100 = 0 L
8 progressbar = Obj_New ( ’ cgprogre ssbar ’ , $
9 Col or = ’ blue ’, Text =’0 ’,$
10 title =’ Tr aining : example nu mber ... ’, $
11 xsize =250 , ysize =20)
12 prog ressba r -> start
13 window ,12 , xsize =600 , ysi ze =400 , $
14 title =’ FFN ( Kalman filter ) ’
15 wset ,12
16 REPE AT B EGIN
17 IF pro gressb ar - > Check Cancel () THEN BEG IN
18
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