The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Filtering marine magnetic anomalies
Abstract
The fast Fourier transform algorithm is used for fast and accurate manipulation of magnetic anomalies over two-dimensional structures confined by horizontal planes. In such manipulations, operations such as upward and downward continuation and inverse filtering of magnetic anomalies, as well as the synthesis of theoretical anomalies, are simply linear filtering operations. Multiplication in the transform domain performs this filtering with more than order-of-magnitude increase in efficiency. Phase shifting the transform of anomalies can remove the skewing effect of the magnetization and of earth's field direction for easier comparison and identification of the anomalies. Inverse filters applied to anomaly sections of the Eltanin 41 track across an asymmetrically spreading ridge south of Australia produce highly correctable fine-scale magnetization distributions.
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Citations
Cites
An algorithm for the machine calculation of complex Fourier series
Cooley, J. W., & Tukey, J. W. (1965) · Mathematics of Computation · doi:10.1090/s0025-5718-1965-0178586-1 · Cited by 13,154
Cited by
Current plate motions across the Red Sea
Chu, D., & Gordon, R. G. (1998) · Geophysical Journal International · doi:10.1046/j.1365-246x.1998.00658.x · Cited by 235
Metadata
- Authors
- Schouten, H., & McCamy, K.
- Venue
- Journal of Geophysical Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 1972-12-10
- Volume
- 77
- Issue
- 35
- Pages
- 7089-7099
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2032403195
- Cited by
- 281
- References
- 1
- FWCI
- 11.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- Schouten, H., & McCamy, K. (1972). Filtering marine magnetic anomalies. Journal of Geophysical Research. https://doi.org/10.1029/jb077i035p07089
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.