Scientific article
Open access

A Semi Automated Method for Laminated Sediments Analysis

Published inInternational journal of geosciences, vol. 03, no. 01, p. 206-210
Publication date2012

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.

  • 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
Main files (1)
Article (Published version)
ISSN of the journal2156-8359

Technical informations

Creation03/16/2012 3:12:00 PM
First validation03/16/2012 3:12:00 PM
Update time03/14/2023 5:09:48 PM
Status update03/14/2023 5:09:48 PM
Last indexation05/02/2024 12:13:53 PM
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