Feature Description
This tool utilizes deep learning capabilities to classify point clouds in power scenarios based on the power scene classification model. After successful classification, the category labels are recorded in the classification property field of the resulting LAS file named with the original file name plus '_cls'. Additionally, a file named with the original file name plus '_cls_semanticInfo.json' is created in the same directory to record classification results such as classify name, corresponding category labels, and the number of corresponding points. For example, Ground (2), High Vegetation (5), Wire Conductor (14) for power lines or transmission lines, Transmission Tower (15), High Noise (18).
Before using this tool, you need to obtain the resource extension package and then configure the environment according to the instruction file in the extension package. The extension package can be obtained at: SuperMap Official Website->Platform Software Download page->specific version of SuperMap iDesktopX->file whose product package name contains Extension_AI 3D.
Using this tool requires a license for the machine learning extension module.
Parameter Description
| Parameter Name | Parameter Interpretation | Parameter Type |
|---|---|---|
| point cloud file directory | Specifies the storage path for the source point cloud data. Currently, only the *.las format is supported. | String |
| storage path | Save path for the resulting point cloud data (*.las). | String |
Output Result
| Parameter Name | Parameter Interpretation | Parameter Type |
|---|---|---|
| point cloud classification | Indicates whether point cloud classification is successful. If successful, true is output in the log, and result data is generated at the specified path. Otherwise, false is output in the log. | Boolean |