This tool can be used to remove points within a LAS LiDAR file that possess certain specified class values. The user must input the names of the input (`input`) and output (`output`) LAS files and the class values to be excluded (`exclude_cls`). Class values are specified by their numerical values, such that:

| Classification Value | Meaning
0 | Created never classified
1 | Unclassified
2 | Ground
3 | Low Vegetation
4 | Medium Vegetation
5 | High Vegetation
6 | Building
7 | Low Point (noise)
8 | Reserved
9 | Water
10 | Rail
11 | Road Surface
12 | Reserved
13 | Wire – Guard (Shield)
14 | Wire – Conductor (Phase)
15 | Transmission Tower
16 | Wire-structure Connector (e.g. Insulator)
17 | Bridge Deck
18 | High noise

Thus, to filter out low and high noise points from a point cloud, specify `exclude_cls='7,18'`. Class ranges may also be specified, e.g. `exclude_cls='3-5,7,18'`. Notice that usage of this tool assumes that the LAS file has underwent a comprehensive point classification, which not all point clouds have had. Use the lidar_info tool determine the distribution of various class values in your file.

## See Also

lidar_info

## Function Signature

`def filter_lidar_classes(self, input: Lidar, exclusion_classes: List[int]) -> Lidar: ...`

## Project Links

WbW Homepage User Manual Support WbW