IGIS Tech Notes describe workflows and techniques or using geospatial science and technologies in research and extension. They are works in progress, and we welcome feedback and comments below. 360 ...

The significant improvements in point cloud representation learning have increased its applicability in many real-life applications, resulting in the need for lightweight, better-performing models.

Self-supervised learning has achieved significant success in various fields such as point cloud detection and segmentation. However, self-supervised learning for point cloud registration is less ...