干旱区生态环境知识资源中心(Arid): 多源遥感数据挖掘系统技术框架

Arid

	多源遥感数据挖掘系统技术框架
其他题名	The Technological Framework of Data Mining from the Polygenetic Remotely Sensed Data
	宫辉力 1; 赵文吉 1; 李京 2
来源期刊	中国图象图形学报. A
ISSN	1006-8961
出版年	2005
卷号	10 期号:5 页码:620-623
中文摘要	陆地资源卫星源源不断地把遥感数据传输至地面,卫星地面接收站积累了海量的卫星遥感数据.遗憾的是,由于缺乏针对遥感数据的有效的数据挖掘和知识发现技术,致使遥感数据中的绝大部分信息没有得到充分的利用.对传统的数据挖掘和知识发现技术进行技术革新和改造,研究针对多源遥感图像的数据挖掘和知识发现技术,不仅可以提高遥感解译的自动化和智能化水平,而且可最大限度地开发和利用遥感信息.为了能充分利用遥感数据,在传统数据挖掘和知识发现技术的基础上,首先探讨了遥感数据挖掘和知识发现的技术流程,然后设计了多源遥感图像数据挖掘系统框架,最后提出了多源遥感图像数据挖掘系统的原型,从而为进一步开发和研制多源遥感数据挖掘系统奠定了技术基础.
英文摘要	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. Baaing on the traditional data mining arid knowledge discovering technologies, the authors had investigated the technology (lowing 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.
中文关键词	遥感图像 ; 数据挖掘 ; 知识发现 ; 遥感信息
英文关键词	remotely sensed image data mining knowledge discovery remotely sensed information
语种	中文
国家	中国
收录类别	CSCD
WOS类目	GEOSCIENCES MULTIDISCIPLINARY
WOS研究方向	Geology
CSCD记录号	CSCD:2027764
来源机构	北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/207043
作者单位	1.首都师范大学, 资源环境与GIS北京市重点实验室, 北京 100037, 中国; 2.北京师范大学资源信息工程中心, 北京 100875, 中国
推荐引用方式 GB/T 7714	宫辉力,赵文吉,李京. 多源遥感数据挖掘系统技术框架[J]. 北京师范大学,2005,10(5):620-623.
APA	宫辉力,赵文吉,&李京.(2005).多源遥感数据挖掘系统技术框架.中国图象图形学报. A,10(5),620-623.
MLA	宫辉力,et al."多源遥感数据挖掘系统技术框架".中国图象图形学报. A 10.5(2005):620-623.