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Potential Landslide Identification Based on Improved YOLOv8 and InSAR Phase-Gradient Stacking

Landslides, as a major geological hazard, caused the significant threats to human life and property. Therefore, the identification of potential landslides is a crucial concern. This study combines synthetic aperture radar interferometry phase-gradient stacking with deep learning to achieve efficient...

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Библиографические подробности
Главные авторы: Yanrong Mao, Ruiqing Niu, Bingquan Li, Jun Li
Формат: Artigo
Язык:Inglês
Опубликовано: IEEE 2024-01-01
Серии:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Online-ссылка:https://ieeexplore.ieee.org/document/10529526/
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