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

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