Multi-View Analysis of High-Resolution Geomorphic Features in Complex Mountains Based on UAV–LiDAR and SfM–MVS: A Case Study of the Northern Pit Rim Structure of the Mountains of Lufeng, China

Unmanned aerial vehicles (UAVs) and light detection ranging (LiDAR) can be used to analyze the geomorphic features in complex plateau mountains. Accordingly, a UAV–LiDAR system was adopted this study acquire images lidar point-cloud dataset annular structure of Lufeng, Yunnan. A three-dimensional (3D) model constructed based on from motion multi-view stereo (SfM–MVS) combination with high-resolution digital elevation (DEM). Geomorphic identification, measurement, analysis were conducted using integrated visual interpretation, DEM visualization, geographic information (GIS) topographic feature extraction. The results indicated that 3D geomorphological visualization mapping DEM, which employed identify dividing lines ridges delineated pit rim structure. retained more detail information, topography variation between analyzed depth. catchment ponding areas accurate morphological parameters through multi-angle visualization. slope, aspect, wetness index (TWI) mathematical statistics qualitatively accurately differences different ridges. This highlighted significance measurements SfM–MVS scene modelling identifying conducting refined analysis. An effective framework established high-precision datasets mountain areas, beneficial deepening research numerical simulation reveal process evolution mechanism.