Point cloud operators
Operators to perform various operations on point clouds
File level operators
File level operators are operators that compute results from a single file on a single cloud instance.
Default
- Align points
- Assign point labels
- Crop and merge polygons
- Crop circle
- Crop points to polygon
- Crop to equal value range
- Density based clustering
- Filter label disagreement knn
- Filter label noise
- Fit line model
- Get bounding box
- Get meta data
- Get point values
- Iterative closest point
- Iterative outlier removal
- Make laz from values
- Make line model from points
- Quantile filter
- Retile generate grid globally
- Retile generate grid locally
- Retile grid to point cloud
- Retile point cloud to grid
- Select center object
- Select points by value
- Uniform down sampling
- Uniform down sampling voxel
- Uniform downsampling
- Voxel downsampling
Gdal
Folder level operators
Folder level operators are operators that compute results for each file in the folder on a massive parallel setup by using multiple cloud instances.
Default
- Align points folder
- Assign point labels folder
- Crop and merge polygons folder
- Crop circle folder
- Crop points to polygon folder
- Crop to equal value range folder
- Density based clustering folder
- Filter label disagreement knn folder
- Filter label noise folder
- Fit line model folder
- Get bounding box folder
- Get meta data folder
- Get point values folder
- Iterative closest point folder
- Iterative outlier removal folder
- Make laz from values folder
- Make line model from points folder
- Quantile filter folder
- Retile generate grid globally folder
- Retile generate grid locally folder
- Retile grid to point cloud folder
- Retile point cloud to grid folder
- Select center object folder
- Select points by value folder
- Uniform down sampling folder
- Uniform down sampling voxel folder
- Uniform downsampling folder
- Voxel downsampling folder