Review
Open access
Oct 2026
A Hybrid Intelligence Driven Method for 3D Point Cloud Change Detection
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