Wavenumber Correlation Analysis of Satellite Geopotential Anomalies KCI OTHER

DC Field Value Language
dc.contributor.author 외부인1 -
dc.contributor.author 외부인2 -
dc.contributor.author 김원균 -
dc.date.accessioned 2020-04-21T08:40:35Z -
dc.date.available 2020-04-21T08:40:35Z -
dc.date.created 2020-02-04 -
dc.date.issued 2000-01 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/6081 -
dc.description.abstract Indentifying anomaly correlations between data sets is the basis for rationalizig geopotential interpretation and theory. A procedure is presented that constitutes an effective process for identifying correlative features between the two or more geopotential data sets. Anomaly features that show direct, inverse, or no correlations between the data may be separated by applying filters in the frequency domains of the data sets. The correlation filter passes or rejects wavenumbers between co-registered data sets based on the correlation coefficient between common wavenumbers as given by the cosine of their phase difference. This study includes an example of Magsat magnetic anomaly profile that illustrates the usefulness of the procedure for extracting correlative features between the data sets. -
dc.description.uri 2 -
dc.title Wavenumber Correlation Analysis of Satellite Geopotential Anomalies -
dc.type Article -
dc.citation.endPage 116 -
dc.citation.startPage 111 -
dc.citation.title 자원환경지질 -
dc.citation.volume 33 -
dc.citation.number 2 -
dc.identifier.bibliographicCitation 자원환경지질, v.33, no.2, pp.111 - 116 -
dc.description.journalClass 2 -
dc.description.isOpenAccess N -
dc.description.journalRegisteredClass kci -
dc.description.journalRegisteredClass other -
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