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Updated: Sep 16, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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基于RF和SVM模型的山地高速公路滑坡易感性的评估

Qingfeng He1, Shoulong Wu2, Xia Zhao3

  • 1College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China. heqf@xust.edu.cn.

Scientific reports
|July 10, 2025
PubMed
概括

道路的近距离显著增加了山区的山体滑坡风险. 这项研究使用机器学习模型绘制易感性图,发现随机森林更有效地识别高速公路附近的高风险区域.

关键词:
土地滑坡易感性绘制地图山地高速公路山地高速公路随机的森林随机的森林支持矢量机器的支持矢量机器.

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