A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features

Lithological identification of outcrops in complex geological settings plays a crucial role in hydrocarbon exploration and geological modeling. To address the limitations of traditional field surveys, such as low efficiency and high risk, we proposed an intelligent lithology recognition method, SG-R...

Full description

Saved in:

Bibliographic Details
Main Authors:	Yanlin Shao, Peijin Li, Ran Jing, Yaxiong Shao, Lang Liu, Kunpeng Zhao, Binqing Gan, Xiaolei Duan, Longfan Li
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Series:	Remote Sensing
Subjects:	outcrop lithology identification point cloud analysis spectral–geometric feature fusion random forest classification stratigraphic constraints
Online Access:	https://www.mdpi.com/2072-4292/17/14/2434
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

A Machine Learning-Based Method for Lithology Identification of Outcrops Using TLS-Derived Spectral and Geometric Features

Similar Items