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A Semi Automated Method for Laminated Sediments Analysis

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 VarveLaminated SedimentK-Nearest NeighborSignalTime-SeriesSpectral AnalysisWavelet Analysis
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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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