Research on Conductivity Depth Imaging of Time Domain Helicopter-Borne Electromagnetic Data Based on Neural Network
详细信息
- 责任者：Zhu Kaiguang (Key Laboratory of Geo-Exploration Instrumentation ; College of Instrumentation and Electrical Engineering ; Jilin University ; Changchun 130026 ; China) ; Lin Jun
- 刊名：Chinese Journal of Geophysics
- 出版年：2010
- 卷期：53(3)
- 关键词：航空电磁法 ; aero-electromagnetic methods
- 页码：p.743-750
- 图表：7 illus., 1 table, 30 refs.
- 分类号：1600
- issnNo：ISSN0001-5733
- isbnNo：CN11-2074/P
摘要
One-dimensional time domain helicopter-borne electromagnetic responses are computed using G-S transform and Gauss numerical integral. The variation of electromagnetic responses due to bird height is analyzed, and then the variation of bird height is transformed to the variation of pseudo-layer thickness of zero conductivity to eliminate the error of the altimeter. Based on the pseudo-layer model, conductivity depth imaging is conducted using artificial neural network while the apparent height is introduced as the output of ANN. CDI obtained by artificial neural network is much closer to the true model than that by lookup table method, especially for resistive layers.