Noise Suppression of airborne gravity data with minimum curvature model
文献类型：期刊论文
| 作者 | Wang, Hao4; Xiong, Shengqing3; He, Tao2,4; Wang, Wanyin1,4,5 |
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
 |
| 出版日期 | 2024-10-01 |
| 卷号 | 67期号:10页码:3959-3972 |
| 关键词 | Airborne gravity data/ Minimum curvature/ Noise suppression/ Relaxation iteration technique |
| ISSN号 | 0001-5733 |
| DOI | 10.6038/cjg2024S0264 |
| 通讯作者 | Xiong, Shengqing(xsqagrs@126.com) |
| 英文摘要 | Airborne gravity, a rapidly advancing geophysical exploration method in recent decades, encounters significant noise interference during data acquisition stemming from factors such as aircraft vibrations, turbulence, and changes in altitude due to variations in airflow. This results in the gravity anomalies induced by geological bodies in the collected data being substantially smaller than the noise, posing considerable challenges for subsequent processing and interpretation. Noise suppression in airborne gravity data has always been a challenge in data processing and a topic that geophysicists have been dedicated to researching. This study applies the minimum curvature method to noise suppression in airborne gravity data. Building upon existing explicit and implicit single-step, superposition-step, multiple single-step, and multiple superposition-step iterations, a relaxation iteration technique is proposed to address the convergence issues of explicit single-step and explicit multiple single-step iterations. By utilizing Fourier spectrum analysis, the convergence of the relaxation iteration format is investigated, and a method for selecting relaxation factors is provided. The effectiveness of the minimum curvature method in noise suppression in airborne gravity data is tested using simulated and real data. The research findings demonstrate that the minimum curvature method is an effective noise suppression method for airborne gravity data, capable of enhancing quality of airborn gravity data and providing reliable data for further processing and interpretation. Importantly, the versatility of this noise suppression method extends its applicability beyond airborne data, accommodating various other datasets, including ground, ship, and satellite gravity data. As such, it showcases a broad range of potential applications in the field of geophysical exploration |
| WOS研究方向 | Geochemistry & Geophysics |
| 语种 | 英语 |
| WOS记录号 | WOS:001343285600003 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/199426]  |
| 专题 | 海洋研究所_海洋地质与环境重点实验室 |
| 通讯作者 | Xiong, Shengqing |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China 2.Rocket Force Univ Engn, Xian 710025, Peoples R China 3.Minist Nat Resources, China Nat Resources Aviat Geophys & Remote Sensing, Key Lab Aviat Geophys & Remote Sensing Geol, Beijing 100083, Peoples R China 4.Changan Univ, Sch Geol Engn & Surveying, Xian 710054, Peoples R China 5.Natl Engn Res Ctr Offshore Oil & Gas Explorat, Beijing 100028, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Hao,Xiong, Shengqing,He, Tao,et al. Noise Suppression of airborne gravity data with minimum curvature model[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2024,67(10):3959-3972. |
| APA | Wang, Hao,Xiong, Shengqing,He, Tao,&Wang, Wanyin.(2024).Noise Suppression of airborne gravity data with minimum curvature model.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,67(10),3959-3972. |
| MLA | Wang, Hao,et al."Noise Suppression of airborne gravity data with minimum curvature model".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 67.10(2024):3959-3972. |
入库方式： OAI收割
来源：海洋研究所
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