[HTML][HTML] 基于卷积神经网络的碳酸盐岩生物化石显微图像识别
余晓露， 叶恺， 杜崇娇， 宫晗凝， 马中良 - 石油实验地质, 2021 - sysydz.net
碳酸盐岩薄片中的生物化石识别对判断沉积环境研究具有重要的意义, 但传统的人工鉴定方法对
经验要求高, 受主观影响较大. 该文提出一种基于ResNet 卷积神经网络的碳酸盐岩生物化石显微 …
经验要求高, 受主观影响较大. 该文提出一种基于ResNet 卷积神经网络的碳酸盐岩生物化石显微 …
Applications of digital core analysis and hydraulic flow units in petrophysical characterization
Conventional petrophysical characterizations are often based on direct laboratory
measurements. Although they provide accurate results, such measurements are time …
measurements. Although they provide accurate results, such measurements are time …
A transfer learning method for automatic identification of sandstone microscopic images
Classification of sandstone microscopic images is an essential task in geology, and the
classical method is either subjective or time-consuming. Computer aided automatic …
classical method is either subjective or time-consuming. Computer aided automatic …
The application of pattern recognition in the automatic classification of microscopic rock images
M Młynarczuk, A Górszczyk, B Ślipek - Computers & Geosciences, 2013 - Elsevier
The classification of rocks is an inherent part of modern geology. The manual identification
of rock samples is a time-consuming process, and—due to the subjective nature of human …
of rock samples is a time-consuming process, and—due to the subjective nature of human …
Application of machine learning techniques in mineral classification for scanning electron microscopy-energy dispersive X-ray spectroscopy (SEM-EDS) images
Mineral classification and segmentation is time-consuming in geological image processing.
The development of machine learning methods shows promise as a technique in replacing …
The development of machine learning methods shows promise as a technique in replacing …
An intelligent system for mineral identification in thin sections based on a cascade approach
In this study, an intelligent system for mineral identification in thin sections is proposed
based on RGB and HSI color spaces and texture features in plane and cross polarized light …
based on RGB and HSI color spaces and texture features in plane and cross polarized light …
Experimental studies on rock thin-section image classification by deep learning-based approaches
D Li, J Zhao, J Ma - Mathematics, 2022 - mdpi.com
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 …
on the performance of deep learning-based algorithms for rock thin-section image …
Rock image classification based on EfficientNet and triplet attention mechanism
Z Huang, L Su, J Wu, Y Chen - Applied Sciences, 2023 - mdpi.com
Featured Application The work presents an image classification algorithm for rock-type
recognition, which can provide reliable guidance for geological surveys. Abstract Rock …
recognition, which can provide reliable guidance for geological surveys. Abstract Rock …
MudrockNet: Semantic segmentation of mudrock SEM images through deep learning
Segmentation and analysis of individual pores and grains of mudrocks from scanning
electron microscope images is non-trivial because of imaging artifacts, variation in pixel …
electron microscope images is non-trivial because of imaging artifacts, variation in pixel …
Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks
Petrographic analysis based on microfacies identification in thin sections is widely used in
sedimentary environment interpretation and paleoecological reconstruction. Fossil …
sedimentary environment interpretation and paleoecological reconstruction. Fossil …