The Point Cloud toolset contains toolsets and tools for classifying, converting, and managing point cloud data.
Tool | Description |
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Applies colors and near-infrared values from orthographic imagery to LAS points. | |
Creates new LAS files from point cloud data in a LAS dataset or point cloud scene layer. | |
Creates new LAS files that contain a subset of LAS points from the input LAS dataset. | |
Creates a set of nonoverlapping LAS files whose horizontal extents are divided by a regular grid. |
Tool | Description |
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Reassigns the classification codes and flags of .las files. | |
Classifies building rooftops and sides in LAS data. | |
Reclassifies lidar points based on their height from the ground surface. | |
Classifies ground points from LAS data. | |
Classifies LAS points with anomalous spatial characteristics as noise. | |
Classifies LAS points from overlapping scans of aerial lidar surveys. | |
Classifies LAS points that intersect the two-dimensional extent of input features. | |
Classifies LAS points using cell values from a raster dataset. |
Tool | Description |
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Classifies a point cloud using a PointCNN 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. | |
Generates the data that will be used to train and validate a PointCNN model for point cloud classification. | |
Trains a deep learning model for point cloud classification using the PointCNN architecture. |
Tool | Description |
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Exports a triangulated irregular network (TIN) from a LAS dataset. | |
Creates multipoint features using one or more lidar files. |