Semantic Segmentation Using Lightweight DeepLabv3+ for Desiccation Crack Detection in Soil

Soil desiccation cracks in natural clayey soil pose significant risks to the stability of civil and geotechnical structures. Traditional methods for detecting these cracks are often inefficient and prone to inaccuracies. Therefore, we applied a deep learning approach of semantic segmentation based o...

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Bibliographic Details

Published in:	Engineering Proceedings
Main Authors:	Hui Yean Ling, See Hung Lau, Siaw Yah Chong, Min Lee Lee, Yasuo Tanaka
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	semantic segmentation soil desiccation crack crack detection deep learning DeepLabv3+
Online Access:	https://www.mdpi.com/2673-4591/91/1/2