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Information Journal Paper

Title

POTENTIAL FIELD ANOMALY SEPARATION USING EMPIRICAL MODE DECOMPOSITION

Pages

  51-56

Abstract

 Potential field anomalies are usually superposed large-scale structures and small-scale structures anomalies. Separation of these two categories of anomalies is the most important step in the data interpretation. Different methods have been introduced for these types of works, but most of them are the semi-automatic methods. In this paper, EMPIRICAL MODE DECOMPOSITION method is used to differentiate regional and residual anomalies. This automatic method is based on extraction of the intrinsic oscillatory modes of data. Efficiency of this method is investigated on both synthetic and real data acquired on TROMSPBERG area of South Africa. Different results show that this technique have higher accuracy than conventional methods like as polynomial fitting.

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    APA: Copy

    ROSHANDEL KAHOO, A., & NEJATI KALATEH, A.. (2012). POTENTIAL FIELD ANOMALY SEPARATION USING EMPIRICAL MODE DECOMPOSITION. IRANIAN JOURNAL OF GEOLOGY, 6(21), 51-56. SID. https://sid.ir/paper/129394/en

    Vancouver: Copy

    ROSHANDEL KAHOO A., NEJATI KALATEH A.. POTENTIAL FIELD ANOMALY SEPARATION USING EMPIRICAL MODE DECOMPOSITION. IRANIAN JOURNAL OF GEOLOGY[Internet]. 2012;6(21):51-56. Available from: https://sid.ir/paper/129394/en

    IEEE: Copy

    A. ROSHANDEL KAHOO, and A. NEJATI KALATEH, “POTENTIAL FIELD ANOMALY SEPARATION USING EMPIRICAL MODE DECOMPOSITION,” IRANIAN JOURNAL OF GEOLOGY, vol. 6, no. 21, pp. 51–56, 2012, [Online]. Available: https://sid.ir/paper/129394/en

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