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Title

A Semi Automated Method for Laminated Sediments Analysis
Authors
Ndiaye, Mapathe
Davaud, Eric Jean
Ariztegui, Daniel
Fall, Meissa
Published in International Journal of Geosciences. 2012, vol. 03, no. 01, p. 206-210
Abstract We developed a software performing laminae counting, thickness measurements, spectral and wavelet analysis of lami-nated sediments embedded signal. We validated the software on varved sediments. Varved laminae are automatically counted using an image analysis classification method based on K-Nearest Neighbors (KNN) algorithm. In a next step, the signal corresponding to varved black laminae thickness variation is retrieved. The obtained signal is a good proxy to study the paleoclimatic constraints controlling sedimentation. Finally, the use of spectral and wavelet analysis methods on the variation of black laminae thickness revealed the existence of frequencies and periods which can be linked to known paleoclimatic events.
Keywords Varve — Laminated Sediment — K-Nearest Neighbor — Signal — Time-Series — Spectral Analysis — Wavelet Analysis
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Article (Published version) (684 Kb) - public document Free access
Structures
Faculté des sciences / Section des sciences de la Terre et de l'Environnement / Département des sciences de la Terre
Citation
(ISO format) 		NDIAYE, Mapathe et al. A Semi Automated Method for Laminated Sediments Analysis. In: International Journal of Geosciences, 2012, vol. 03, n° 01, p. 206-210. doi: 10.4236/ijg.2012.31023 https://archive-ouverte.unige.ch/unige:18860

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Deposited on : 2012-03-19

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