Contribution of High-Resolution Virtual Outcrop Models for the Definition of Rockfall Activity and Associated Hazard Modelling
The increased accessibility of drone technology and structure from motion 3D scene
reconstruction have transformed the approach for map** inaccessible slopes undergoing …
reconstruction have transformed the approach for map** inaccessible slopes undergoing …
Mining subsidence monitoring model based on BPM-EKTF and TLS and its application in building mining damage assessment
JY Li, L Wang - Environmental Earth Sciences, 2021 - Springer
In mining subsidence monitoring,“discrete point deformation monitoring and mining
subsidence prediction model” is often used. The key to mining subsidence monitoring is to …
subsidence prediction model” is often used. The key to mining subsidence monitoring is to …
Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features
Photogrammetry is increasingly being used to characterize rock slope hazards in
mountainous environments. With growth in the amount of point cloud data being collected …
mountainous environments. With growth in the amount of point cloud data being collected …
Semantic segmentation guided coarse-to-fine detection of individual trees from MLS point clouds based on treetop points extraction and radius expansion
Urban trees are vital elements of outdoor scenes via mobile laser scanning (MLS), accurate
individual trees detection from disordered, discrete, and high-density MLS is an important …
individual trees detection from disordered, discrete, and high-density MLS is an important …
An algorithm for measuring landslide deformation in terrestrial lidar point clouds using trees
Terrestrial lidar data is a powerful resource for monitoring geohazards such as rockfall and
landslides. However, vegetated landslides with horizontal shear surfaces remain difficult to …
landslides. However, vegetated landslides with horizontal shear surfaces remain difficult to …
[HTML][HTML] Generalized Extraction of Bolts, Mesh, and Rock in Tunnel Point Clouds: A Critical Comparison of Geometric Feature-Based Methods Using Random Forest …
Automatically identifying mine and tunnel infrastructure elements, such as rock bolts, from
point cloud data improves deformation and quality control analyses and could ultimately …
point cloud data improves deformation and quality control analyses and could ultimately …
The influence of training data variability on a supervised machine learning classifier for Structure from Motion (SfM) point clouds of rock slopes
Abstract Supervised Machine Learning (ML) can be used to automatically interpret remote
sensing data in engineering geology, with applications for rockfall and landslide …
sensing data in engineering geology, with applications for rockfall and landslide …
Assessment and Mechanism Analysis of Forest Protection against Rockfall in a Large Rock Avalanche Area
Trees in forests can obstruct falling rocks and serve as a natural barrier to reduce the
velocity of falling rocks. Recently, there has been growing interest in utilizing forests to …
velocity of falling rocks. Recently, there has been growing interest in utilizing forests to …
Shape classification guided method for automated extraction of urban trees from terrestrial laser scanning point clouds
X Ning, G Tian, Y Wang - Multimedia Tools and Applications, 2021 - Springer
Accurate detection and extraction of individual trees is one of hottest topics, which can be
widely used in vehicles navigation, tree modeling, tree growth monitoring and urban green …
widely used in vehicles navigation, tree modeling, tree growth monitoring and urban green …
基于崩塌滚石运动特征的防护网动态响应规律
马显东， 周剑， 张路青， 黄福有， **蕊瑞 - 地球科学, 2022 - earth-science.net
为获取被动柔性防护网在不同崩塌滚石运动特征下的动态响应规律, 以鲁甸803
地震震后崩塌滚石造成防护网损坏现场为例, 通过无人机倾斜摄影技术实现地质调查 …
地震震后崩塌滚石造成防护网损坏现场为例, 通过无人机倾斜摄影技术实现地质调查 …