297 
connection with each interrelated subject as a branch of DMKD. 
So the methods of Spatial Data Mining and Knowledge 
Discovery are numerous, they are mainly Statistical method, 
Induction method, Clustering method, Association Rules 
Mining method, Spatial Analysis method, Exploratory Data 
Analysis, Rough Set method, Artificial Neural Networks, 
Genetic Algorithm, Dempster-Shafer method etc. Inductive 
Learning method is a very important method of Data Mining 
and Knowledge Discovery, and it can sum up the determinant 
regulation and mode from large amount of experiential data. 
The Inductive Learning methods in common use are Attribution 
Orient Inductive (AOI) and Decision Tree (DT)[6], Currently, 
some scholars have already made some beneficial trials on the 
application of Decision Tree method in remote sensing 
information extraction. 
4. CONCLUSION 
Remote sensing information extraction based on knowledge is a 
kind of good method, it can synthetically use all the remote 
sensing information such as spectrum, texture, shape etc. These 
knowledge can use solely, and can use together. We can choose 
one kind of knowledge or several kinds of knowledge according 
to our need. It attains wonderful effect in information extraction. 
REFERENCES 
[1] Guang YANG, Xiangnan Liu, 2004a. The present research 
condition and development trend of remotely sensed imagery 
interpretation. Remote Sensing for Land & Resources, 2, pp. 7- 
15. 
[2] Ping ZHAO, 2003b. Knowledge-based Landuse/cover 
classification in the typical test areas of the lower reaches of 
Yangtze River, Nanjing University. 
[3] Tashpolati-TIYIP, Jianli Ding, 2002a. Summary of sarellite 
remote sensing information extraction techniques based on 
knowledge. Journal of Xinjiang University (Natural Science 
Edition), 19(2), pp. 129-135. 
[4] Xiaotao LI, 2004b. Application research on remote sensing 
image classification based on geostatistics and ANN, ShanDong 
University of Science and Technology. 
[5] Huiqin ZHAI, Sumin WANG, Rong LEI, 2004a. 
Classification and recognition of remote sensing image by 
auxiliary of GIS. Geospatial Information, 2(4), pp 8-10. 
[6] Kaichang DI, 2001. Spatial Data Mining and Knowledge 
Discovery. Wuhan, pp. 28-31.