A denoising method based on kernel principal component analysis for airborne time domain electromagnetic data
文献类型：期刊论文
| 作者 | Chen Bin1,2,3; Lu Cong-De4; Liu Guang-Ding1 |
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
 |
| 出版日期 | 2014 |
| 卷号 | 57期号:1页码:295-302 |
| 关键词 | Airborne time domain electromagnetic Denoising Kernel principal component analysis Sferics Culture noise |
| ISSN号 | 0001-5733 |
| DOI | 10.6038/cjg20140125 |
| 文献子类 | Article |
| 英文摘要 | Airborne time domain electromagnetic (ATEM) data are often contaminated by natural noise and culture noise during the flight survey. If an inappropriate filter is taken to denoise for airborne electromagnetic data, it will result in low quality of data, less accuracy of the inversion and even wrong interpretation. This paper presents a denoising method based on kernel principal component analysis. Firstly, kernel principal component analysis is applied to extract the principal component of the raw decay curves; then the components reflecting subsurface media distribution and noise may be separated using the energy ratio method; finally, these components reflecting subsurface media are employed to reconstruct the decay curves. The denoising method proposed not only can remove natural noise such as spikes or sferics, but also effectively suppress the culture and shaking noise. In the experiments, we use the proposed denoising method and AeroTEM software respectively, to process the same helicopter time domain electromagnetic data measured in site. The experimental results show that the denoising method based on the kernel principal component analysis (KPCA) proposed in this paper is superior to the filtering method of the AeroTEM. |
| WOS关键词 | NOISE ; SYSTEMS |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:000330601900025 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/86401]  |
| 专题 | 中国科学院地质与地球物理研究所 |
| 通讯作者 | Chen Bin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China 2.China Aero Geophys Survey, Beijing 100083, Peoples R China 3.Remote Sensing Ctr Land & Resources, Beijing 100083, Peoples R China 4.Chengdu Univ Technol, Minist Educ, Key Lab Earth Explorat & Informat Tech, Chengdu 610059, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen Bin,Lu Cong-De,Liu Guang-Ding. A denoising method based on kernel principal component analysis for airborne time domain electromagnetic data[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2014,57(1):295-302. |
| APA | Chen Bin,Lu Cong-De,&Liu Guang-Ding.(2014).A denoising method based on kernel principal component analysis for airborne time domain electromagnetic data.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,57(1),295-302. |
| MLA | Chen Bin,et al."A denoising method based on kernel principal component analysis for airborne time domain electromagnetic data".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 57.1(2014):295-302. |
入库方式： OAI收割
来源：地质与地球物理研究所
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