Scale invariant property in Walsh frequency domain and a multifractal model for geophysical data processing in GIS environment
文献类型：期刊论文
| 作者 | Li Qing-Mou; Cheng Qiu-Ming; Liu Shao-Hua |
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
 |
| 出版日期 | 2007-11-01 |
| 卷号 | 50期号:6页码:1884-1893 |
| 关键词 | W-A model multifractal filter scale invariant property texture analysis mineral potential mapping |
| ISSN号 | 0001-5733 |
| 文献子类 | Article |
| 英文摘要 | Geophysical fields present scale invariant property in multiple scale ranges. This is originated from the self-similarity or self-affine attributes of geological, geophysical, geochemical, and mineralization processes. To separate geophysical signals of these types into mono-scale invariant patterns reflecting simple geological, geophysical, geochemical or mineralization processes is useful for mineral exploration and environment assessment. The fractal and multifractal attributes between power spectrum and frequency of geophysical data in Walsh domain are investigated. A wide variety of geophysical well logging data from Ocean Drilling Program (ODP), oil hearing, and coal bed section is tested and approved of multifractal property in Walsh domain. Multifractal Walsh Spectrum Area (W-A) accumulation model is proposed and implemented for extracting geophysical anomalies for mineral exploration in GIS environment. Using the W-A method, Walsh power spectrum density "thresholds" or "breaks" could be defined by means of Least Square (LS) and these breaks can be further used in filter design. W-A filter can be used to decompose geophysical data into signals with distinct local self-similarity with the anisotropy attributes of the original geophysical data retained. W-A has some advantages over the S-A a filtering technique in the Fourier Domain, such as suitable for detecting local features of sharp edges, linear or curvilinear, and weak signals. Further more, W-A is much faster than Fourier based method because Fast Walsh Transformation (FWT) and Inverse Fast Walsh Transformation (IFWT) require only addition and subtraction operation whereas Fourier based methods need complex multiplying in Fast Fourier Transformation (FFT) and Inverse Fast Fourier Transformation (IFFT). Therefore, W-A is suitable for real time geophysical processing or in situ fast data processing. The Bouguer anomaly of southeast Nova Scotia, Canada is processed using W-A method and the results showing good agreement with the known spatial distribution of lithology units, and mineral deposits and occurrences. |
| WOS关键词 | FOURIER TRANSFORM ; COMPUTATION |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000251343600032 |
| 出版者 | SCIENCE CHINA PRESS |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/68640]  |
| 专题 | 中国科学院地质与地球物理研究所 |
| 通讯作者 | Li Qing-Mou |
| 作者单位 | 1.York Univ, Dept Earth & Atmospher Sci, N York, ON M3J 1P3, Canada 2.China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Wuhan 430074, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li Qing-Mou,Cheng Qiu-Ming,Liu Shao-Hua. Scale invariant property in Walsh frequency domain and a multifractal model for geophysical data processing in GIS environment[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2007,50(6):1884-1893. |
| APA | Li Qing-Mou,Cheng Qiu-Ming,&Liu Shao-Hua.(2007).Scale invariant property in Walsh frequency domain and a multifractal model for geophysical data processing in GIS environment.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,50(6),1884-1893. |
| MLA | Li Qing-Mou,et al."Scale invariant property in Walsh frequency domain and a multifractal model for geophysical data processing in GIS environment".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 50.6(2007):1884-1893. |
入库方式： OAI收割
来源：地质与地球物理研究所
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