Scientific article
OA Policy
English

A Semi Automated Method for Laminated Sediments Analysis

Published inInternational journal of geosciences, vol. 03, no. 01, p. 206-210
Publication date2012
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
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
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Article (Published version)
accessLevelPublic
Identifiers
Journal ISSN2156-8359
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352downloads

Technical informations

Creation16/03/2012 15:12:00
First validation16/03/2012 15:12:00
Update time14/03/2023 17:09:48
Status update14/03/2023 17:09:48
Last indexation29/10/2024 19:06:38
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