Instructions for use
This tool utilizes deep learning capabilities to classify point clouds in power scenarios based on a power scene classification model. Upon successful classification, category labels will be recorded in the classification attribute field of the resulting LAS file (named as [original filename]_cls). Additionally, a JSON file named [original filename]_cls_semanticInfo.json will be generated in the same directory to document classification results, including category names, corresponding category labels, and point counts. For example: Ground (2), HighVegetation (5), Wire_Conductor (14), TransmissionTower (15), HighNoise (18).
Before using this tool, users must obtain the extension resource package and configure the environment according to the included instructions. The extension package can be downloaded from: SuperMap Official Website->Product Download page->SuperMap iDesktopX specific version->Resource package containing Extension_AI 3D in its name.
This tool requires a Machine Learning Extension module license.
Parameter Description
| Parameter Name | Parameter Description | Parameter Type |
|---|---|---|
| Point Cloud Directory | Specifies the path to the source point cloud data. Currently, only *.las format is supported. | String |
| Storage Path | The save path for the result point cloud data (*.las). | String |
Output Result
| Parameter Name | Parameter Description | Parameter Type |
|---|---|---|
| Point Cloud Classification | Indicates whether point cloud classification was successful. If successful, outputs "true" in the log and generates result data at the specified path; otherwise, outputs "false". | Boolean |