Classify Water Points

Function Description

This tool classifies water areas and extracts water boundaries. The main algorithm is based on point cloud characteristics: because the actual point density over water is low, the point cloud is rasterized using Grid Size(m), then binarized using Density Threshold(p/m^2) and processed with morphological operations to extract water boundaries with an area larger than Min Area(m^2)).

Usage

Click Classify > Classify Water Points

LiDAR360 Classification

Parameters

  • File Name:The input file can be single or multiple point cloud dataset. You need to add the data into lidar360 first.
  • From Class:Point cloud class to be classified.
  • To Class:Target class.
  • Grid Size(m):The grid size for rasterizing the point cloud. It is generally greater than the average point spacing.
  • Density (p/m^2):Grid point density less than this value is marked as water area.
  • Min Area(m^2)):Extract waterbody boundary larger than this value.
  • Output Path:The output path of result data.

results matching ""

    No results matching ""