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遥感技术与应用  2002, Vol. 17 Issue (4): 198-204    DOI: 10.11873/j.issn.1004-0323.2002.4.198
技术方法     
空间数据挖掘技术方法及应用
毛克彪1,2,田庆久1,2
(1.南京大学国际地球系统科学研究所,江苏南京  210093;
2.南京大学城市资源系,江苏南京  210093)
The Technology and Methods of Spatial Data
Mining and Their Application
MAO Ke-biao1,2, TIAN Qingjiu1,2
(1.International Institute for Earth System,Nanjing University,Nanjing210093,China;
2.Dept of City Resources,Nanjing University,Nanjing210093,China)
 全文: PDF 
摘要:

着重阐述了通用的空间数据挖掘体系结构,空间数据的关联特性,几种主要的空间数据挖掘方法。最后对一实例进行了应用分析。

关键词: 数据挖掘空间数据空间数据挖掘    
Abstract:

Remotely sensed data are so large that they can not be dealed with by human brains. Therefore,
it becomes increasely important to find a method to get information automatically, quickly, efficiently from
remotely sensed data. The technology of Data Mining was put up with in 1980' s, and it has been used in
many fields, such as finance fields, insurance fields, retail fields, medical and justice, etc. Data mining is
the non-trivial process of identifying valid, novel, potentially useful, ultimately understandable patterns
from huge volume of data. The spatial data mining is developed on the base of it. In a sense, spatial data
mining resolves the problem of abundant data that human brain cannot be competent with. Furthermore, it
can be used in artificial intelligence and pattern recognition fields. Spatial data mining differentiates from
general data mining. Because Spatial data mining must consider the topology relation between the
neighboring object, the direction and distance, etc. On the contrary, the general data mining consider
every element in the database is independent. Nowadays, although the technology of the spatial data
mining develops very quickly, it has not matured. There still are many things for us to do, especially, the
extraction of the hedge and the feeble information from the remotely sensed images. This paper provides
the background of spatial data mining, the general process of data mining, common algorithms, language
and prospect.

Key words: Data mining    Spatial data mining    SDMS
收稿日期: 2002-05-31 出版日期: 2011-11-21
:  TP 75  
作者简介: 毛克彪(1977-),男,硕士生,从事数据挖掘、遥感数字图像信息提取等方面的研究。
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引用本文:

毛克彪,田庆久. 空间数据挖掘技术方法及应用[J]. 遥感技术与应用, 2002, 17(4): 198-204.

MAO Ke-biao, TIAN Qingjiu. The Technology and Methods of Spatial Data
Mining and Their Application. Remote Sensing Technology and Application, 2002, 17(4): 198-204.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2002.4.198        http://www.rsta.ac.cn/CN/Y2002/V17/I4/198

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