Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method

Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method

We proposed an automatic detection method of slope failure regions using a semantic segmentation method called Mask R-CNN based on a deep learning algorithm to improve the efficiency of damage assessment in the event of slope failure disaster. There is limited research on detecting landslides by dee...

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Bibliographic Details
Main Authors: Shiori Kubo, Tatsuro Yamane, Pang-jo Chun
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
image augmentation
Mask R-CNN
slope failure
image segmentation
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/17/6412

Internet

https://www.mdpi.com/1424-8220/22/17/6412

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