.png){kind=icon}
返回
Multiscale Constrained Inversion Method for Direct Current Resistivity Tomography Based on Haar Wavelet Transform
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2020.3024286.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Smoothness constrained inversion dominates the field of geoelectrical imaging. However, the resulting smooth images are unrealistic. In the absence of a priori underground information, the actual shape of the target geological structures are not well described. To address these limitations, we propose a multiscale inversion scheme. The inversion uses the wavelet transform method to convert the model parameters into Wavelet parameters. The Wavelet parameters are used as target values for the inversion. On this basis, different smoothness values were applied to different regions by controlling the feature parameter weights. Finally, the resistivity model was developed from the Wavelet parameters using the inverse wavelet transform. This study mainly considers the features of different depths and scales. By reducing the weight of the deep Wavelet parameters in the model objective function, the role of the data fitting objective function is enhanced, thereby improving the imaging of deep targets. Similarly, by reducing the weight of small-scale Wavelet parameters in the model objective function, the accuracy of the small-scale Wavelet parameters is improved. The small-scale Wavelet parameters correspond to the target boundary (fine or local) in the space domain, and hence, the actual shape of the target geological structures is better described. Compared with the traditional smoothness constrained inversion, the new method has a stronger boundary description effect on the target body. Numerical simulations have verified that different weights can improve the inversion performance. The feasibility of the algorithm was verified by using the sandbox test.
Keyword:
Conductivity
Wavelet transforms
Imaging
Numerical models
Data models
Shape
Electrical resistivity tomography
multiscale inversion
wavelet transform
weighted constraint
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
.png){kind=icon}
POSS Engineering of Multifunctional Nanoplatforms for Chemo-Mild Photothermal Synergistic Therapy多功能的纳米平台用于化疗-温和光热协同治疗的POSS工程
OAAI
OAAI分享收藏Damage and failure of trabecular bone with non-linear geometry and inhomogeneous material properties
PREAI
分享收藏分享收藏分享收藏分享收藏
查看更多内容