Improved feature extraction in seismic data: multi-attribute study from principal component analysis

IF 1.4 4区地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY

Geo-Marine Letters Pub Date : 2021-10-02 DOI:10.1007/s00367-021-00719-2

Animireddy Ramesh, N. Satyavani, Mohammed Rafique Shamshoddin Attar

引用次数: 3

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改进的地震数据特征提取:基于主成分分析的多属性研究

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Geo-Marine Letters 地学-地球科学综合

CiteScore

5.30

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Geo-Marine Letters is an international peer-reviewed journal focussing on the rapid publication of concise original studies and reviews dealing with processes, products and techniques in marine geology, geophysics, and geochemistry. Coverage spans - structural geology, including plate tectonics of recent active and passive margins - sea-bed morphology, physiography and morphodynamics - sediment transport, depositional processes and sedimentary facies analysis - stratigraphy, basin analysis and paleoenvironmental reconstruction - sea-level history, paleoproductivity, gas hydrates, salt domes and brines - sediment-water interaction and organism-sediment relationships - geochemical tracers, stable isotopes and authigenic mineral formation - geotechnical properties and application of new geo-marine techniques, and more. In addition to regular articles, reviews, discussion/reply articles and technical papers, Geo-Marine Letters welcomes contributions by guest editors in the form of conference/workshop proceedings, or bundles of papers dealing with specific themes.