Near-field effect correction for CSAMT apparent resistivity using a frequency-adaptive deep learning mapping from CSAMT to MT response space
- DOI
- 10.1038/s41598-026-62887-4
- Published
- 2026-08-24
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-62887-4,
title = {Near-field effect correction for CSAMT apparent resistivity using a frequency-adaptive deep learning mapping from CSAMT to MT response space},
author = {Da Liu and Bo Shen and Qingwei Bi and Chong Wang and Yanyi Qiao},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-62887-4},
url = {https://doi.org/10.1038/s41598-026-62887-4}
}RIS
TY - JOUR TI - Near-field effect correction for CSAMT apparent resistivity using a frequency-adaptive deep learning mapping from CSAMT to MT response space AU - Da Liu AU - Bo Shen AU - Qingwei Bi AU - Chong Wang AU - Yanyi Qiao PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-62887-4 UR - https://doi.org/10.1038/s41598-026-62887-4 ER -
APA
Liu, D., Shen, B., Bi, Q., Wang, C., & Qiao, Y. (2026). Near-field effect correction for CSAMT apparent resistivity using a frequency-adaptive deep learning mapping from CSAMT to MT response space. Scientific Reports. https://doi.org/10.1038/s41598-026-62887-4
Source records
- crossref · retrieved 2026-09-25T09:35:53.668Z