Multi-temporal three-dimensional (3D) point cloud change detection is essential for updating reality-based 3D models and urban spatial databases, but remains affected by uneven sampling, occlusion, registration residuals, and local reconstruction errors. This study proposes a hybrid-intelligence-driven method that in...
Yong Feng, Ni-Jia Qian, Yue-Yang Huan et al.· Engineering Research Express· 0 citations
GNSS coordinate series noise modeling is essential for reliable geophysical signal estimation and uncertainty assessment. The generalized Gauss–Markov (GGM) noise model and the Matérn process (MP) noise model are widely used to describe low-frequency spectral flattening in GNSS coordinate series, but they differ in the...
Yue-Yang Huan, Guo-Bin Chang, Lei Peng et al.· Remote Sensing· 0 citations
Open-pit mines contain rapidly changing terrain, discontinuous bench structures, and mixed artificial–natural objects, which complicate automated three-dimensional mapping. This study presents a dual-module workflow for UAV LiDAR point clouds. Module A characterizes local geometry using normal and curvature descriptors...
