Multi-Modal Deep Learning Detection of Deep-Seated Gravitational Slope Deformation by Typhoon Talas in 2011-Reference-Cited by-同舟云学术

Multi-Modal Deep Learning Detection of Deep-Seated Gravitational Slope Deformation by Typhoon Talas in 2011

Published:2023-02-10 Issue:6 Volume:63 Page:277-290
ISSN:0286-7737
Container-title:Journal of the Japan Society of Engineering Geology
language:en
Short-container-title:JJSEG

Author:

KIKUCHI Teruyuki¹,SAKITA Koki²,NISHIYAMA Satoshi³,TAKAHASHI Kenichi⁴

Affiliation:

1. J-POWER Design Co., Ltd.

2. Shimizu Corporation Institute of Technology

3. Graduate School of Environmental and Life Science, Okayama University

4. Electric Power Development Co., Ltd.

Publisher

Japan Society of Engineering Geology

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jjseg/63/6/63_277/_pdf

Reference42 articles.

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4. 4）Agliardi, F., Crosta, G., & Zanchi, A.（2001）: Structural constraints on deep-seated slope deformation kinematics. Eng. Geol., Vol. 59, No. 1-2, pp. 83-102.

5. 5）Chigira, M., Wang, W. N., Furuya, T., Kamai, T.（2003）: Geological causes and geomorphological precursors of the Tsaoling landslide triggered by the 1999 Chi-Chi Earthquake, Taiwan. Eng. Geol., Vol. 68, pp. 259–273. doi: 10.1016/S0013-7952(02)00232-6.