In-time and real-time intelligent landslide identification method based on CNN

Shousheng Liu; Junyue Wang; Xueyu Zhang; Fengxiang Guo; Haixiang Feng; Yaliang Cui; Fulong Yang; Hao Du; Zhigang Gai

doi:10.1117/12.2659665

30 November 2022 In-time and real-time intelligent landslide identification method based on CNN

Shousheng Liu, Junyue Wang, Xueyu Zhang, Fengxiang Guo, Haixiang Feng, Yaliang Cui, Fulong Yang, Hao Du, Zhigang Gai

Proceedings Volume 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022); 124560A (2022) https://doi.org/10.1117/12.2659665
Event: International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 2022, Qingdao, China

Abstract

Landslide is a very serious geological disaster. When the heavy rain occurs in the area with loose soil layer, the mountain becomes loose after strong erosion of rain water. As soon as the threshold of adhesion force between mud and mountain base is broken, the powerful harmful force formed by landslides will bury houses, people and cars. Traditional detection methods, represented by InSAR or LIDAR, were capable of identifying landslides to a certain extent, but in-time and real-time performance were not good enough. In this paper, an intelligent identification method based on convolutional neural network(CNN) is proposed, which can in-time and real-time to identify landslides, thus greatly reducing the loss of life, health and property.

Citation Download Citation

Shousheng Liu, Junyue Wang, Xueyu Zhang, Fengxiang Guo, Haixiang Feng, Yaliang Cui, Fulong Yang, Hao Du, and Zhigang Gai "In-time and real-time intelligent landslide identification method based on CNN", Proc. SPIE 12456, International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022), 124560A (30 November 2022); https://doi.org/10.1117/12.2659665

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