干旱区生态环境知识资源中心(Arid): 遥感信息不确定性研究

Arid

	遥感信息不确定性研究
其他题名	Study on the Uncertainty of Remote Sensing Information
	葛咏 1; 王劲峰 1; 梁怡 2; 马江洪 3
来源期刊	遥感学报
ISSN	1007-4619
出版年	2004
卷号	8 期号:4 页码:339-348
中文摘要	近年来遥感技术及遥感信息产业化发展迅猛,但遥感信息的不确定性制约着遥感信息的产品化和实用化的进一步发展.虽然,这一问题得到了国内外众多学者的关注,并提出和采用相关理论和方法进行分析,取得了相当的进展,但这些方法在分析遥感信息不确定性时忽略了一个重要的研究点:遥感信息的不确定性传递机理.本文主要目标就是建立一套遥感信息不确定性的处理方法.
英文摘要	To date, Remote Sensing technologies have been applied to environmental management, monitoring and control. Remote Sensing technologies are also being applied to monitor land desertification, land use cover, environment pollution, etc. Due to limitations in instrument and processing technology in RS, system errors and measurement errors may corrupt the data. Errors may be associated with both attribute value and its location. After collecting spatiald ata, we then need to process, analyze and convert the data in order to make RS information understandable to users. When we produce the final RS products, new errors can be created as a result of spatial operations on maps or images that contain errors (spatial error propagation) . If we ignore these errors in the RS products, it can result in economic loss. Though, the uncertainty of remote sensing information has been a hotspot in the spatial information process and many researcli have provided us lots of valuable results, however very few of them is on the mechanism-based. The existing methods applied to the uncertainty analysis of RS will lead to the blind spot where uncertainly could not be analyzed,and uncertainty in subsequent image product will be propagated, tracked and quantified inconveniently. In this paper, we propose a framework to deal with these problems.
中文关键词	遥感信息 ; 不确定性 ; 统计分析方法 ; 机理分析方法
英文关键词	remote sensing uncertainty analysis data analysis method mechanism-based method analysis
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:1599906
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/205611
作者单位	1.中国科学院地理科学与资源研究所, 资源与环境信息系统国家重点实验室, 北京 100101, 中国; 2.香港中文大学地理与资源管理系, 香港; 3.西安交通大学, 西安, 陕西 710049, 中国
推荐引用方式 GB/T 7714	葛咏,王劲峰,梁怡,等. 遥感信息不确定性研究[J]. 中国科学院地理科学与资源研究所,2004,8(4):339-348.
APA	葛咏,王劲峰,梁怡,&马江洪.(2004).遥感信息不确定性研究.遥感学报,8(4),339-348.
MLA	葛咏,et al."遥感信息不确定性研究".遥感学报 8.4(2004):339-348.