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.
Anal, 3( 2), pp. 186-200.
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-