168 
Figure 4. standardization of quick bird image 2005 (band 5) 
¡9 111204 
■ 114204 
■ 115201 
■ 115202 
■ 115204 
■ 115261 
■ 154115 
□ 154155 
üä 154156 
■ 154201 
□ 154202 
□ 154204 
■ 155204 
■ 201155 
H 204202 
■ 261201 
■ 115111 
3.3 Results 
Figure 7. LUCC result (based on pixel) 
) 
■ 111201 
■ 111203 
■ 111204 
■ 114204 
■ 115201 
■ 115202 
, ■ 115204 
■ 154115 
$k □154155 
® EH 154156 
■ 154201 
□ 154202 
□ 154204 
■ 155204 
■ 201155 
□ 204202 
! 
■ 111201 
■1111203 
B111204 
■ 114204 
B115201 
B115202 
B115204 
□ 154155 
El 154156 
B154201 
GD 154202 
□ 154204 
B155204 
B201155 
Figure 8. LUCC result (based on land use map 2005) 
Figure 5. LUCC result (Index of regional similarity Y- ) 
4. CONCLUSIONS AND FURTHER WORK 
* 
■ 111201 
■I 111203 
■ 111204 
■ 114204 
■ 115201 
■ 115202 
■ 115204 
■ 115261 
■ 154115 
I I 154155 
EH 154156 
■ 154201 
■ 154202 
I I 154204 
■ 155204 
■ 201155 
H 204202 
■ 261201 
■ 115111 
■ 203201 
Figure 6. LUCC result ( ratio of characters’ difference a y ) 
From the figure 5-8, we can see the figure 5 is most similar to 
the figure 8, that is: the index of regional similarity has more 
sensitivity to indicate the land use change of time T1 and T2. 
At the same time, the figure 7 shows that: The approach based 
on land use segment has more precise than which on traditional 
methods of the pixels. 
The experimental results demonstrate that the proposed method 
can cut down the computational costs and improve the accuracy. 
In one word, the new method is an attractive and effective 
method, which outperforms the traditional change detection 
methods. 
REFERENCES: 
E. F. Lambin, X. Baulies, N. Bockstael et al. 1999. Land-use 
and Land-cover (LUCC) Implementation Strategy . IGBP 
report 48 and IHDP report 10.