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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246 Supervised Classification Part 1
Listing 6.4: Excerpt from the program module KERNEL_RUN.PRO.
1 FUNC TION Output , sigma , Hs , symm = symm
2 COMP ILE_OP T STRICTARR
3 COMMON examples , Gs , Gs_gpu , ells , K , m , cuda
4 IF n_el ements ( symm ) EQ 0 THEN symm = 0
5 result = flt arr ( n_el ements ( Hs [0 ,*]) , K )
6 IF cuda THEN BEGIN
7 IF symm THEN Ka ppa_gp u = $
8 gp ukerne l_ma tr ix ( Gs_gpu , gma =0.5/ sigma ^2) $
9 ELSE BEGIN
10 Hs_g pu = gpu putarr ( Hs )
11 K appa_g pu = gpukernel_ma trix ( Gs_gpu , $
12 Hs_gpu , gma =0.5 / s igma ^2)
13 gpufree , Hs_ gpu
14 ENDELSE
15 Kappa = gpuget arr ( Kappa_gpu )
16 gpufree , Kap pa_gpu
17 END $
18 ELSE Kap
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