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Wang, Yukai, Teng, Qizhi, He, Xiaohai, Feng, Junxi, Zhang, Tingrong (2019) CT-image of rock samples super resolution using 3D convolutional neural network. Computers & Geosciences, 133. 104314 doi:10.1016/j.cageo.2019.104314

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Reference TypeJournal (article/letter/editorial)
TitleCT-image of rock samples super resolution using 3D convolutional neural network
JournalComputers & Geosciences
AuthorsWang, YukaiAuthor
Teng, QizhiAuthor
He, XiaohaiAuthor
Feng, JunxiAuthor
Zhang, TingrongAuthor
Year2019 (December)Volume133
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2019.104314Search in ResearchGate
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Mindat Ref. ID456003Long-form Identifiermindat:1:5:456003:0
GUID0
Full ReferenceWang, Yukai, Teng, Qizhi, He, Xiaohai, Feng, Junxi, Zhang, Tingrong (2019) CT-image of rock samples super resolution using 3D convolutional neural network. Computers & Geosciences, 133. 104314 doi:10.1016/j.cageo.2019.104314
Plain TextWang, Yukai, Teng, Qizhi, He, Xiaohai, Feng, Junxi, Zhang, Tingrong (2019) CT-image of rock samples super resolution using 3D convolutional neural network. Computers & Geosciences, 133. 104314 doi:10.1016/j.cageo.2019.104314
In(2019) Computers & Geosciences Vol. 133. Elsevier BV

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Li, Yang, Teng, Qizhi, He, Xiaohai, Feng, Junxi, Xiong, Shuhua (2019) Super-dimension-based three-dimensional nonstationary porous medium reconstruction from single two-dimensional image. Journal of Petroleum Science and Engineering, 174. 968-983 doi:10.1016/j.petrol.2018.12.004
Li, Zhengji, Teng, Qizhi, He, Xiaohai, Yue, Guihua, Wang, Zhengyong (2017) Sparse representation-based volumetric super-resolution algorithm for 3D CT images of reservoir rocks. Journal of Applied Geophysics, 144. 69-77 doi:10.1016/j.jappgeo.2017.04.013
Yan, Pengcheng, Teng, Qizhi, He, Xiaohai, Ma, Zhenchuan, Zhang, Ningning (2023) Multiscale reconstruction of porous media based on multiple dictionaries learning. Computers & Geosciences, 176. 105356 doi:10.1016/j.cageo.2023.105356
Roslin, A., Lebedev, M., Mitchell, T.R., Onederra, I.A., Leonardi, C.R. (2023) Processing of micro-CT images of granodiorite rock samples using convolutional neural networks (CNN) Part III: Enhancement of Scanco micro-CT images of granodiorite rocks using a 3D convolutional neural network super-resolution algorithm. Minerals Engineering, 195. 108028 doi:10.1016/j.mineng.2023.108028
Ugolkov, Evgeny; He, Xupeng; Kwak, Hyung; Hoteit, Hussein (2025) Super-resolution of 3D Micro-CT images using generative adversarial Networks: Enhancing resolution and segmentation accuracy. Computers & Geosciences, 205. doi:10.1016/j.cageo.2025.106018
Gao, Mingliang, Teng, Qizhi, He, Xiaohai, Feng, Junxi, Han, Xue (2017) Evaluating the morphological completeness of a training image. Physical Review E, 95 (5) doi:10.1103/physreve.95.053306
Zhang, Fan, He, Xiaohai, Teng, Qizhi, Wu, Xiaohong, Dong, Xiucheng (2022) 3D-PMRNN: Reconstructing three-dimensional porous media from the two-dimensional image with recurrent neural network. Journal of Petroleum Science and Engineering, 208. 109652pp. doi:10.1016/j.petrol.2021.109652
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Kanakaraj, Sithara, Nair, Madhu S., Kalady, Saidalavi (2019) Adaptive Importance Sampling Unscented Kalman Filter based SAR image super resolution. Computers & Geosciences, 133. 104310 doi:10.1016/j.cageo.2019.104310
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