The book's content spans hardware descriptions, software workflows, and algorithmic insights, making it suitable for both self-study and academic courses. Featuring templates, flow diagrams, step-by-step processes, and tables, it ensures ease of cross-referencing and practical understanding. Thus, it empowers researchers, students, and industry professionals to process complex, massive point cloud data efficiently, leading to more accurate spatial analysis, environmental assessments, and urban planning.
Table of Contents
1. Laser Scanners2. Laser Registration
3. 3D reconstruction
4. Digital Elevation Models
5. Point cloud expression and description
6. Point clouds detection and tracking
7. Point clouds semantic segmentation
8. Point clouds instance segmentation
9. Point clouds interactive segmentation
10. Point clouds software
11. Application examples

