Enhanced Display and Identification of Hidden Landslides Based on Airborne LiDAR
To address the limitations of conventional methods for monitoring landslide in complex terrains and vegetation-covered areas,this paper proposes an enhanced display and recognition method for landslide hazard based on airborne LiDAR technology.In particular,the construction of a high-precision digital elevation model is adopted in conjunction with various terrain-visualization techniques,such as mountain shadows,slope analysis,red stereo maps,and sky field of view factors.The support vector machine(SVM)model is used to classify fused images and identify landslide-susceptible areas.Experimental results show that this method effectively identifies and enhances the display of landslide hazard areas,and that its accuracy in identifying landslide-susceptible areas based on the SVM is 83.86%.The proposed method not only enhances the visualization of landslide hazard areas but also improves the accuracy in identifying landslide-susceptible areas,thus providing effective technical support for landslide disaster prevention and emergency response.
NETL
NSTL
万方数据
