An overview of the Point Cloud toolset

The Point Cloud toolset contains toolsets and tools for classifying, converting, and managing point cloud data.


Colorize LAS

Applies colors and near-infrared values from orthographic imagery to LAS points.

Extract LAS

Creates new LAS files from point cloud data in a LAS dataset or point cloud scene layer.

Thin LAS

Creates new LAS files that contain a subset of LAS points from the input LAS dataset.

Tile LAS

Creates a set of nonoverlapping LAS files whose horizontal extents are divided by a regular grid.

Tools in the Point Cloud toolset


Change LAS Class Codes

Reassigns the classification codes and flags of .las files.

Classify LAS Building

Classifies building rooftops and sides in LAS data.

Classify LAS By Height

Reclassifies lidar points based on their height from the ground surface.

Classify LAS Ground

Classifies ground points from LAS data.

Classify LAS Noise

Classifies LAS points with anomalous spatial characteristics as noise.

Classify LAS Overlap

Classifies LAS points from overlapping scans of aerial lidar surveys.

Set LAS Class Codes Using Features

Classifies LAS points that intersect the two-dimensional extent of input features.

Set LAS Class Codes Using Raster

Classifies LAS points using cell values from a raster dataset.

Tools in the Classification toolset


Classify Point Cloud Using Trained Model

Classifies a point cloud using a PointCNN classification model.

Prepare Point Cloud Training Data

Generates the data that will be used to train and validate a PointCNN model for classifying a point cloud.

Train Point Cloud Classification Model

Trains a deep learning model for point cloud classification using the PointCNN architecture.

Tools in the Classification (Deep Learning) toolset


LAS Dataset To TIN

Exports a triangulated irregular network (TIN) from a LAS dataset.

LAS To Multipoint

Creates multipoint features using one or more lidar files.

Tools in the Conversion toolset

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