Identification of plagioclase extinction-angle features from polarized images using deep neural network.

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作者： Jun,Shu ^[1] ; Xiaohai,He ^[2] ; Guifen,Su ^[3] ; Haibo,He ^[4] ; Fengyun,Yue ^[2] ; Qizhi,Teng ^[2]

作者单位： College of Electronics and Information Engineering, <a href="https://ror.org/011ashp19">Sichuan University</a>, Chengdu 610065, China.;School of Physics, Electronics and Intelligent Manufacturing, <a href="https://ror.org/04zn6xq74">Huaihua University</a>, Huaihua 418000, China. ^[1] College of Electronics and Information Engineering, <a href="https://ror.org/011ashp19">Sichuan University</a>, Chengdu 610065, China. ^[2] China Geological Survey Cores and Samples Center of Nature Resources, <a href="https://ror.org/02kxqx159">Ministry of Natural Resources</a>, Hebei 065201, China. ^[3] Chengdu Xitu Technology Co., Ltd., Chengdu 610021, China. ^[4]

DOI 10.1103/PhysRevE.110.045303

PMID 39562982

发布时间 2024-11-20

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Physical review. E

2024年110卷4-2期

045303页

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Identification of plagioclase extinction-angle features from polarized images using deep neural network.

Physical review. E

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Identification of plagioclase extinction-angle features from polarized images using deep neural network.

Physical review. E

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