%0 Journal Article
%T The Technological Framework of Data Mining from the Polygenetic Remotely Sensed Data<br>多源遥感数据挖掘系统技术框架
%A GONG Hui-li
%A ZHAO Wen-ji
%A LI Jing
%A <br>宫辉力
%A 赵文吉
%A 李京
%J 中国图象图形学报
%D 2005
%I 
%X The Land Resource Satellites continuously send the remotely sensed data to the earth, so large quantity of data has been acquire by the satellite receiving ground station. Unfortunately, because of lacking the effective techniques for data mining and knowledge discovering from the polygenetic remotely sensed data, the majority of the useful information existed in the remotely sensed data not has been fully exploited. Researching the data mining and knowledge discovering technologies, especially suitable to the polygenetic remotely sensed data, through innovating and improving the traditional data mining and knowledge discovering technologies, can promote the level of automatically and intelligently interpreting the polygenetic remotely sensed data,and exploit the useful information existed in the remotely sensed data as much as possible. Basing on the traditional data mining and knowledge discovering technologies, the authors had investigated the technology flowing chart of the remotely sensed data mining and knowledge discovering procedure, and then designed the technological framework of the remotely sensed data mining and knowledge discovering system, finally proposed the prototype of the system. So the technological foundation for further developing the polygenetic remotely sensed data mining system had been established.
%K remotely sensed image
%K data mining
%K knowledge discovery
%K remotely sensed information<br>数据挖掘系统
%K 技术框架
%K 知识发现技术
%K 多源遥感图像
%K 卫星地面接收站
%K 陆地资源卫星
%K 卫星遥感数据
%K 图像数据挖掘
%K 数据传输
%K 部分信息
%K 技术革新
%K 遥感解译
%K 遥感信息
%K 技术流程
%K 系统框架
%K 技术基础
%K 智能化
%K 自动化
%K 传统
%K 开发
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=336C81ECBAB5E841&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=94C357A881DFC066&sid=E6A0A363CA4FC5CF&eid=F8AEC975DBDD7F2F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=2&reference_num=6