干旱区生态环境知识资源中心(Arid): 水蚀荒漠化信息自动提取方法研究

Arid

	水蚀荒漠化信息自动提取方法研究
其他题名	A Study of Automatical Information Extraction Method of Water-erosion Desertification
	葛佳 1; 张子鸣 2; 吴成 3; 詹骞 3; 孙永军 4
来源期刊	国土资源遥感
ISSN	1001-070X
出版年	2012
期号	4 页码:88-94
中文摘要	针对黄土高原地区水蚀荒漠化较为严重这一问题,建立了一套基于ETM+遥感数据和地理信息系统的水蚀荒漠化信息自动提取的技术方法体系,并对其信息提取精度进行了评价。该方法以NDVI(归一化植被指数)、KT3(KT变换后的湿度信息)、slope(坡度)、DEM(高程)及典型地物光谱数据作为水蚀荒漠化分类的特征波段,构建了决策树分类规则,有效剔除了研究区非水蚀荒漠化信息;引入面向对象多尺度分割技术,以坡度(slope)、沟谷密度(gully density)和植被覆盖度(vegetation coverage)等作为水蚀荒漠化程度分级的特征波段,通过层次分析法(analytic hierarchy process)确定特征波段的分割权重,实现了水蚀荒漠化程度的分级。该方法提取结果与目视解译结果的总体一致性为82.8%。
英文摘要	In this paper, part of the loess plateau was chosen as the study area. A set of automatic information extraction methods for water-erosion desertification was proposed by using the ETM+ images obtained in this area and on the basis of remote sensing data and geographic information system. NDVI (normalized difference vegetation index), KT3 (KT transform,humidity), slope, DEM (elevation) and typical feature spectral data were used to establish the characteristic bands of the study area, and then a decision tree classification rule could be constructed, which could exclude the non-water erosion desertificatin information effectively in the study area. The object-oriented muti-scale segmentation technology was adopted, and the slope, gully density and vegetation coverage were taken as the characteristic bands of the water-erosion desertification classification. With the building of the multi-characters space, the weight value was determined by the analytic hierarchy process, which also served as the classification index of the water-erosion desertification. The consistency of the evaluation between the automatic extraction results and the visual interpretation results shows a good linear relationship, with the overall consistency reaching 82.8%.
中文关键词	水蚀荒漠化 ; 信息提取 ; 面向对象 ; 层次分析法
英文关键词	water-erosion desertification information extraction object-oriented segmentation analytic hierarchy process
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:4690866
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/228225
作者单位	1.中国地质大学(武汉), 武汉, 湖北 430074, 中国; 2.中国冶金地质总局西北局, 西安, 陕西 710119, 中国; 3.中国地质大学(北京), 北京 100083, 中国; 4.中国国土资源航空物探遥感中心, 北京 100083, 中国
推荐引用方式 GB/T 7714	葛佳,张子鸣,吴成,等. 水蚀荒漠化信息自动提取方法研究[J],2012(4):88-94.
APA	葛佳,张子鸣,吴成,詹骞,&孙永军.(2012).水蚀荒漠化信息自动提取方法研究.国土资源遥感(4),88-94.
MLA	葛佳,et al."水蚀荒漠化信息自动提取方法研究".国土资源遥感 .4(2012):88-94.