Quantitative Study of the Maceral Groups of Laminae Based on Support Vector Machine

Quantitative Study of the Maceral Groups of Laminae Based on Support Vector Machine

Identifying organic matter in laminae is fundamental to petroleum geology; however, many factors restrict manual quantification. Therefore, computer recognition is an appropriate method for accurately identifying microscopic components. In this study, we used support vector machine (SVM) to classify...

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Bibliographic Details
Main Authors: Yuanzhe Wu, Yunpeng Fan, Yan Liu, Kewen Li, Tingxiang Zeng, Yong Ma, Yongjing Tian, Yaohui Xu, Zhigang Wen, Xiaomin Xie, Juan Teng
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
macerals
laminae
organic petrology
SVM
Online Access:https://www.mdpi.com/2076-3417/12/18/9046

Internet

https://www.mdpi.com/2076-3417/12/18/9046

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