globalchange  > 过去全球变化的重建
DOI: 10.1016/j.palaeo.2015.05.024
论文题名:
Semi-automated detection of annual laminae (varves) in lake sediments using a fuzzy logic algorithm
作者: Ebert T.; Trauth M.H.
刊名: Palaeogeography, Palaeoclimatology, Palaeoecology
ISSN: 0031-0182
出版年: 2015
卷: 435
起始页码: 272
结束页码: 282
语种: 英语
英文关键词: Fuzzy logic ; Image processing ; Lake sediment ; MATLAB ; Statistics ; Varve
英文摘要: Annual laminae (varves) in lake sediments are typically visually identified, measured and counted, although numerous attempts have been made to automate this process. The reason for the failure of most of these automated algorithms for varve counting is the complexity of the seasonal laminations, typically rich in lateral facies variations and internal heterogeneities. In the manual counting of varves, the investigator acquired and interpreted flexible numbers of complex decision criteria to understand whether a particular simple lamination is a varve or not. Fuzzy systems simulate the flexible decision making process in a computer by introducing a smooth transition between true varve and false varve. In our investigation, we use an adaptive neuro fuzzy inference system (ANFIS) to detect varves on the basis of a digital image of the sediment. The results of the application of the ANFIS to laminated sediments from the Meerfelder Maar (Eifel, Germany) and from a landslide-dammed lake in the Quebrada de Cafayate of Argentina are compared with manual varve counts and possible reasons for the differences are discussed. © 2015 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/68852
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作者单位: Institut für Erd- und Umweltwissenschaften, Universität Potsdam, Potsdam, Germany

Recommended Citation:
Ebert T.,Trauth M.H.. Semi-automated detection of annual laminae (varves) in lake sediments using a fuzzy logic algorithm[J]. Palaeogeography, Palaeoclimatology, Palaeoecology,2015-01-01,435
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