Search
Now showing items 1-3 of 3
Automatic classification of volcanic rocks from thin section images using transfer learning networks
(2021)
In this study, efficient deep transfer learning models are proposed to classify six types of volcanic rocks, and this paper has a novelty in classifying volcanic rock types for the first time using thin section images. ...
Classification of plutonic rock types using thin section images with deep transfer learning
(2021)
Classification of rocks is one of the basic parts of geological research and is a difficult task due to the heterogeneous properties of rocks. This process is time consuming and requires sufficiently knowledgeable and ...
Automatic Detection and Mapping of Dolines Using U-Net Model from Orthophoto Images
(2023)
A doline is a natural closed depression formed as a result of karstification, and it is the most common landform in karst areas. These depressions damage many living areas and various engineering structures, and this type ...
