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遥感技术与应用  2012, Vol. 27 Issue (1): 149-153    DOI: 10.11873/j.issn.1004-0323.2012.1.149
遥感应用     
基于遥感变化检测的石漠化信息自动提取
李松1,安裕伦2,华厚强1,3
(1.中国科学院遥感应用研究所,北京 100101;2.贵州师范大学地理与环境科学学院,贵州 贵阳 550001;3.北京航空航天大学电子信息工程学院,北京 100191)
Automated Method based on Change Detection for Extracting Karst Rock Desertification Information Using Remote Sensing
Li Song1,An Yulun2,Hua Houqiang1,3
(1.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;2.School of Geographical and Environmental Sciences,Guizhou Normal University,Guiyang 552100,China;3.School of Electronic and Information Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100083,China)
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摘要:

滇黔桂地区被划定为限制开发区后,石漠化的研究变得越来越热,而信息提取是这些研究的重要内容。当前石漠化信息提取主要依据静态指标进行,鉴于静态方法的不足,在动态机理剖析的基础上,综合考虑石漠化的静态景观及其动态属性,以贵州和云南交界区域为实验区,1992年和2001年两个时相的TM/ETM+影像为数据源,研究遥感变化检测方法在石漠化信息自动提取中的应用。在几何校正和辐射校正的基础上对两个时相的影像实施差值变化检测,将实验区分为变化区和无变化区两类,根据石漠化机理进一步将变化区分为石漠化区和逆石漠化区,完成石漠化信息识别,经验证Kappa系数为0.854。结果表明:遥感变化检测方法对石漠化有较好的识别效率和精度,能够为石漠化的综合防治提供科学依据。

关键词: 石漠化变化检测动态过程信息提取    
Abstract:

After Yunnan,Guizhou and Guangxi provinces were designated the restricted development zone,studies on karst rocky desertification had been becoming more and more enthusiastic.Information extraction is an important content of the studies.Current methods for karst rocky desertification information extraction are based primarily on static index about Karst Rocky Desertfication phenomena,as has obvious shortcomings.Given the shortcomings of current methods and integrity of static and dynamic information of karst rocky desertification,this paper discusses automatic method of karst rocky desertification information extraction using change detection based on the mechanism of the karst rocky desertification.Thereby this paper takes the border region of Guizhou and Yunnan provinces as a study case to test the application of change detection method using two-phase TM/ETM+ images in 1992 and 2001.Differential change detection is made in geometric and radiometric corrected images in 1992 and 2001,the result of change detection is classified as unchanged region and changed region which is divided into two parts of karst rocky desertification and retrograde desertification based on mechanism of the karst rocky desertification.Recognition accuracy for the kappa coefficient reaches 0.854 in the test region.Finally,the finding shows that the method using change detection has better efficiency and accuracy in the recognition of desertification information,as has important significance to the countermeasures of karst rocky desertification.

Key words: Karst rocky desertification    Change detection    Dynamic process    Information extraction
收稿日期: 2010-05-26 出版日期: 2012-03-22
:  TP 79  
基金资助:

贵州科技厅项目(黔科合gy字[2008]3022),国家“十一五”科技支撑计划重大课题(2006BAC01A09)。

作者简介: 李松(1980-),男,贵州织金人,博士,主要从事灾害与地质遥感应用研究。Email:lisong@irsa.ac.cn。
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引用本文:

李松,安裕伦,华厚强. 基于遥感变化检测的石漠化信息自动提取[J]. 遥感技术与应用, 2012, 27(1): 149-153.

Li Song,An Yulun,Hua Houqiang. Automated Method based on Change Detection for Extracting Karst Rock Desertification Information Using Remote Sensing. Remote Sensing Technology and Application, 2012, 27(1): 149-153.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2012.1.149        http://www.rsta.ac.cn/CN/Y2012/V27/I1/149

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