파동수대비법을 이용한 인공위성 포텐셜 이상 연구

• 발행기관: 대한자원환경지질학회
• 저자명: 김정우 김원균 김혜윤
• 간행물 정보: 『자원환경지질』33권 2호, 111~116쪽, 전체 6쪽
• 주제분류: 자연과학 > 지질학
• 파일형태: PDF
• 발행일자: 2000.04.30

영문 초록

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.

키워드

파동수대비법 인공위성 포텐셜 geopotential field anomalies