An overview of the Point Cloud toolset

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

Tools in the Point Cloud toolset

Tool	Description
Colorize LAS	Applies colors and near-infrared values from orthographic imagery to LAS points.
Extract LAS	Creates LAS files from point cloud data in a LAS dataset or point cloud scene layer.
Extract Objects From Point Cloud	Extracts distinct objects from a classified point cloud into point, polygon, or multipatch features.
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 Classification toolset

Tool	Description
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 (Deep Learning) toolset

Tool	Description
Classify Point Cloud Using Trained Model	Classifies a point cloud using a deep learning model.
Evaluate Point Cloud Classification Model	Evaluates the quality of one or more point cloud classification models using a well-classified point cloud as a baseline for comparing the classification results obtained from each model.
Prepare Point Cloud Training Data	Generates the data that will be used to train and validate a point cloud classification model.
Train Point Cloud Classification Model	Trains a deep learning model for point cloud classification.

Tools in the Conversion toolset

Tool	Description
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 Object Detection (Deep Learning) toolset

Tool	Description
Detect Objects From Point Cloud Using Trained Model	Detects objects captured in a point cloud using a deep learning model.
Prepare Point Cloud Object Detection Training Data	Creates point cloud training data for object detection models using deep learning.
Train Point Cloud Object Detection Model	Trains an object detection model for point clouds using deep learning.