MAH-YOLO: an enhanced YOLOv8n framework for loess landslide detection with multi-attention mechanisms

MAH-YOLO: an enhanced YOLOv8n framework for loess landslide detection with multi-attention mechanisms

The Loess Plateau, with its fragile ecological environment and frequent landslides, poses severe risks to both ecological safety and human life. Accurate and efficient landslide detection is essential for disaster prevention and sustainable regional development. This study proposes an enhanced targe...

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Bibliographic Details
Main Authors: Yuan Liang, Zhe Chen, Zhengbo Yu, Zhong Wang, Qingyun Ji, Ziqiong He, Dongsheng Zhong, Zhongchang Sun, Huadong Guo
Format: Article
Language:English
Published: Taylor & Francis Group 2025-08-01
Series:International Journal of Digital Earth
Subjects:
MAH-YOLO
loess landslide detection
multi-attention mechanism
YOLOv8
lightweight models
Online Access:https://www.tandfonline.com/doi/10.1080/17538947.2025.2536666
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