Point Cloud Classification

Point cloud classification is a process where computer algorithms analyze a collection of data points collected from a 3D scan of a physical environment, like a building or landscape. Each point has location information and sometimes additional data like color or intensity. The goal is to categorize these points into different types of objects, such as trees, buildings, or roads. This helps in understanding, mapping, and modeling real-world environments digitally, enabling applications like city planning, autonomous vehicle navigation, and virtual simulations.