87 
block Figure 8. code of sub-image block 
sub-image of the The curve from the average energy of sub-image of woodland 
samples 
~'•“ fangwul 
~" fang»u2 
fangwu3 
fangmlj 
9 
block 
;ub-image of house 
Figure 9. code of sub-image block 
The curve from the average energy of sub-image of pond 
samples 
gendl 
"“•"“gend2 
gend3 
" gend4 
block 
jb-image of infiled 
kind 
A 1 
changjiang 
0.4429 
river 
house 
0.4091 
infiled 
0.8735 
lake 
0.4772 
woodlang 
0.3538 
pond 
0.2281 
A 2 
A 1 
0.5064 
0.455 
0.5146 
0.6523 
0.523 
0.4359 
0.3992 
0.3835 
0.787 
0.4593 
0.3254 
0.2767 
Table 1. texture classification parameters of some kind of 
land samples 
8 9 
block 
sub-image of lake 
REFERENCES 
Wim Sweldens, 1996. The lifting scheme: A custom-design 
construction of biorthogonal wavelets. Appl. Comp. Harmon. 
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S. BARUA, J. E. Carletta, K. A. Kotteri, A. E. Bell, 2005. An 
efficient architecture for lifting-based two-dimensional discrete 
wavelet transforms. Integration, the VLSI Journal, 38,341-352. 
Chen shan, qin qi-ming, 2003. The classification of texture and 
structure in the high resolution imagery based on wavelet 
transform, geography and geo-information science, 19, pp.6- 
9(in Chinese) 
I Daubechies. 1998. Orthonormal bases of compactly 
supported wavelets. Appl. Comp. Harmon. Anal., 41, pp. 186-