研究论文
Intelligent identification of landslides in loess areas based on the improved YOLO algorithm: a case study of loess landslides in Baoji City
Qing Liu, Tingting Wu, Yahong Deng, Zhiheng Liu
Huainan Normal University Anhui University of Science and Technology Chang'an University Xidian University
来源Journal of Mountain Science
年份2023
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4.08
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学术脉络
学科主题
物理Landslides and related hazards
Advanced Neural Network Applications · Remote-Sensing Image Classification
参考文献 46
GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China
被引 139Qiqing Wang, Wenping Li, Wei Chen · Journal of Earth System Science · 2015
A coupled slope cutting—a prolonged rainfall-induced loess landslide: a 17 October 2011 case study
被引 158Jianqi Zhuang, Jianbing Peng · Bulletin of Engineering Geology and the Environment · 2014
Stability analysis of the 2007 Chehalis lake landslide based on long-range terrestrial photogrammetry and airborne LiDAR data
被引 73Marc-André Brideau, Matthieu Sturzenegger, Doug Stead · Landslides · 2011
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引用本文 18
Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review
被引 58Rongjie He, Wengang Zhang, Jie Dou · Rock Mechanics Bulletin · 2024
Application of the YOLOv11-seg algorithm for AI-based landslide detection and recognition
被引 42Luhao He, Yongzhang Zhou, Lei Liu · Scientific Reports · 2025
EMR-HRNet: A Multi-Scale Feature Fusion Network for Landslide Segmentation from Remote Sensing Images
被引 23Yuanhang Jin, Xiaosheng Liu, Xiaobin Huang · Sensors · 2024
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