Feature Description
This tool utilizes deep learning capabilities to support point cloud instance segmentation based on power scenario point cloud classification models for point clouds in power scenarios. After instance segmentation is completed, instance individuals such as power lines and towers in the point cloud of the power scenario will be obtained. Points belonging to the same instance have the same instance ID, recorded in the InstanceID property field of the result file.
Additionally, it supports points of specified categories to participate in instance segmentation operations, such as power lines and towers, thereby effectively improving the efficiency of instance segmentation and reducing the demand for computer resources.
Before using this tool, you need to obtain the resource extension package first, 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 package name contains Extension_AI 3D.
Using this tool requires a machine learning extension module license.
Parameter Description
| Parameter Name | Parameter Interpretation | Parameter Type |
|---|---|---|
| Point Cloud File Directory | Specifies the storage path of the source point cloud data. Currently, only *.las format is supported. | String |
| Reserved Categories | Sets the reserved category name and category ID. Only points with reserved categories will participate in instance segmentation operations. Categories and IDs include: power lines (ID 14), towers (ID 15). | String |
| Storage Path | Sets the save path for the result point cloud data (*.las). | String |
Output Result
| Parameter Name | Parameter Interpretation | Parameter Type |
|---|---|---|
| Point Cloud Instance Segmentation | Whether point cloud instance segmentation is successful | Boolean |