z-logo
open-access-imgOpen Access
A Semi Automated Method for Laminated Sediments Analysis
Author(s) -
Mapathé Ndiaye,
Eric Davaud,
Daniel Arizteguí,
M Fall
Publication year - 2012
Publication title -
international journal of geosciences
Language(s) - English
Resource type - Journals
eISSN - 2156-8367
pISSN - 2156-8359
DOI - 10.4236/ijg.2012.31023
Subject(s) - varve , geology , wavelet , software , signal (programming language) , spectral analysis , proxy (statistics) , wavelet transform , pattern recognition (psychology) , mineralogy , computer science , artificial intelligence , paleontology , sediment , machine learning , physics , quantum mechanics , spectroscopy , programming language
We developed a software performing laminae counting, thickness measurements, spectral and wavelet analysis of laminated 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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom