Classify Buildings

Summary

This function classifies buildings in point cloud data.

Usage

Click Classify > Classify Buildings

LiDAR360 Classification

Settings

  • Input Data: The input file can be a single point cloud data file or a point cloud dataset, which must be opened in the LiDAR360 software and has already been classified by ground points.
  • From Class: Source class(es).
  • Ground Class: The default ground point is 2-class.
  • Building Class: Specify the building class number.
  • Wall Class: Specify the wall class number.
  • Search Radius (default "1"): The radius of the neighborhood used for calculating the point cloud normal vector, typically set to 4-6 times the point spacing.
  • Angle Threshold (°) (default "5"): The angle threshold between two points during plane clustering. Points with angles smaller than this value are considered part of the same cluster.
  • Distance Tolerance (default "0.2"): The distance threshold from a point to a plane during plane clustering. Points with distances smaller than this value are considered part of the same cluster, generally set to slightly more than the point spacing.
  • Min Points Number(default "100"): The minimum number of points required for a building face.
  • Max Slope (°) (default "60"): Angles greater than this value are considered not to be building rooftops but potentially walls or other categories.
  • Min Building Area (default "20"): The minimum area for a building rooftop. Areas smaller than this value are considered not part of the rooftop.
  • Height Above Ground (default "2"): Used for preliminary filtering of rooftop points.
  • Buffer Size (default "10 m"): The buffer zone for point cloud segmentation.
  • Default: Click this button to restore all parameters to their default values.

Note:

1.This function requires that the point cloud has already undergone ground point classification.
2.In the input data, points classified as roof or wall categories will not be reclassified.

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