Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4965391 | Computers & Geosciences | 2017 | 42 Pages |
Abstract
An experiment was conducted using photographic rock surface images collected by a UAV and a handheld digital camera. The proposed technique was applied to detect lithology boundaries. It was found that the proposed method reduced the interpretation time by a factor of four relative to manual segmentation, while achieving more than 96% similarity in boundary detection. As a result the proposed method has the potential to provide practical support for interpreting large volume of complex geological images.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yathunanthan Vasuki, Eun-Jung Holden, Peter Kovesi, Steven Micklethwaite,