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

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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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Autori principali:	Yuan Liang, Zhe Chen, Zhengbo Yu, Zhong Wang, Qingyun Ji, Ziqiong He, Dongsheng Zhong, Zhongchang Sun, Huadong Guo
Natura:	Articolo
Lingua:	inglese
Pubblicazione:	Taylor & Francis Group 2025-12-01
Serie:	International Journal of Digital Earth
Soggetti:	MAH-YOLO loess landslide detection multi-attention mechanism YOLOv8 lightweight models
Accesso online:	https://www.tandfonline.com/doi/10.1080/17538947.2025.2536666
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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