In Mars exploration, rocks are good targets for compositional analysis with spectrometers.
Their shape, size, and texture could provide a wealth of information for study of planetary …

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 …

Rock image classification is a significant part of geological research. Compared with
traditional image classification methods, rock image classification methods based on deep …

Fast and accurate intelligent classification of rocks is the most important prerequisite to
ensure the unmanned construction of geological projects. In this paper, a dataset containing …

Rock classification provides vital information to geosciences and geological engineering
practices. Reaping the benefits of the advances of computer vision-based deep learning …

Rock classification provides vital information to geosciences and geological engineering
practices. Reaping the benefits of the advances of computer vision-based deep learning …

The automated interpretation of rock structure can improve the efficiency, accuracy, and
consistency of the geological risk assessment of tunnel face. Because of the high …

Featured Application The work presents an image classification algorithm for rock-type
recognition, which can provide reliable guidance for geological surveys. Abstract Rock …

Rock classification plays an important role in rock mechanics, petrology, mining
engineering, magmatic processes, and numerous other fields pertaining to geosciences …

Experimental studies were carried out to analyze the impact of optimizers and learning rate
on the performance of deep learning-based algorithms for rock thin-section image …