Separation of potential field data using 3-D principal component analysis and textural analysis
文献类型：期刊论文
| 作者 | Zhang, Lili; Hao, Tianyao; Jiang, Weiwei |
| 刊名 | GEOPHYSICAL JOURNAL INTERNATIONAL
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000271634300010 |
| 出版者 | WILEY-BLACKWELL PUBLISHING, INC |
| 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) |
| 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. |
入库方式： OAI收割
来源：地质与地球物理研究所
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