Separation of potential field data using 3-D principal component analysis and textural analysis

doi:10.1111/j.1365-246X.2009.04357.x

	Separation of potential field data using 3-D principal component analysis and textural analysis
	Zhang, Lili; Hao, Tianyao; Jiang, Weiwei
刊名	GEOPHYSICAL JOURNAL INTERNATIONAL
	2009-12-01
卷号	179 期号:3 页码:1397-1413
关键词	Image processing Spatial analysis Gravity anomalies and Earth structure Magnetic anomalies: modelling and interpretation
ISSN号	0956-540X
DOI	10.1111/j.1365-246X.2009.04357.x
文献子类	Article
英文摘要	Potential field data represent the superposition of effects of all surface and underground sources. A reliable interpretation of different gravity or magnetic anomalies greatly depends on a reasonable separation between regional field and local anomalies. We present here a novel separation method based on a 3-D principal component analysis (PCA) and textural analysis. The PCA, used to decompose the potential field data into a linear superposition of eigenimages, is performed not only on anomaly values but also on textural features, so as to fully use the spatial distribution characteristics of the data and make the separated regional field comprehensively account for the major variations of the data. In order to reduce subjectivity and inaccuracy, we propose a texture-based criterion in separation result selection, which measures the highlighted differences between the two kinds of anomaly by textural statistics and select the first several eigenimages corresponding to the most important variability as the region field when the differences reach maximum. The method is tested with two synthetic models and two real data examples from the Huanghua area, located in Hebei Province, China. Our tests suggest that the method provides a better separation of regional and local anomalies than does the polynomial fitting technique. The separated regional fields and local anomalies of the gravity and magnetic data coincide well with the geological structure of the Huanghua area.
WOS关键词	THRESHOLD SELECTION ; GRAVITY-ANOMALIES ; MAGNETIC DATA ; HUMAN FACES ; ENTROPY ; PCA ; SUPPRESSION ; EXTRACTION ; TRANSFORM ; HISTOGRAM
WOS研究方向	Geochemistry & Geophysics
语种	英语
出版者	WILEY-BLACKWELL PUBLISHING, INC
WOS记录号	WOS:000271634300010
资助机构	NSFC(40674046 ; NSFC(40674046 ; '973' National Key Fundamental Research Plan(2007CB411701) ; '973' National Key Fundamental Research Plan(2007CB411701) ; '863' Research Plan(2006AA09Z359) ; '863' Research Plan(2006AA09Z359) ; 40620140435 ; 40620140435 ; 40704013) ; 40704013) ; NSFC(40674046 ; NSFC(40674046 ; '973' National Key Fundamental Research Plan(2007CB411701) ; '973' National Key Fundamental Research Plan(2007CB411701) ; '863' Research Plan(2006AA09Z359) ; '863' Research Plan(2006AA09Z359) ; 40620140435 ; 40620140435 ; 40704013) ; 40704013) ; NSFC(40674046 ; NSFC(40674046 ; '973' National Key Fundamental Research Plan(2007CB411701) ; '973' National Key Fundamental Research Plan(2007CB411701) ; '863' Research Plan(2006AA09Z359) ; '863' Research Plan(2006AA09Z359) ; 40620140435 ; 40620140435 ; 40704013) ; 40704013) ; NSFC(40674046 ; NSFC(40674046 ; '973' National Key Fundamental Research Plan(2007CB411701) ; '973' National Key Fundamental Research Plan(2007CB411701) ; '863' Research Plan(2006AA09Z359) ; '863' Research Plan(2006AA09Z359) ; 40620140435 ; 40620140435 ; 40704013) ; 40704013)
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/71780]
专题	中国科学院地质与地球物理研究所
通讯作者	Zhang, Lili
作者单位	Chinese Acad Sci, Key Lab Petr Resources Res, Inst Geol & Geophys, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Lili,Hao, Tianyao,Jiang, Weiwei. Separation of potential field data using 3-D principal component analysis and textural analysis[J]. GEOPHYSICAL JOURNAL INTERNATIONAL,2009,179(3):1397-1413.
APA	Zhang, Lili,Hao, Tianyao,&Jiang, Weiwei.(2009).Separation of potential field data using 3-D principal component analysis and textural analysis.GEOPHYSICAL JOURNAL INTERNATIONAL,179(3),1397-1413.
MLA	Zhang, Lili,et al."Separation of potential field data using 3-D principal component analysis and textural analysis".GEOPHYSICAL JOURNAL INTERNATIONAL 179.3(2009):1397-1413.