filters.csf

Contents

filters.csf#

The Cloth Simulation Filter (CSF) classifies ground points based on the approach outlined in [Zhang et al., 2016].

Default Embedded Stage

This stage is enabled by default

Example#

The sample pipeline below uses CSF to segment ground and non-ground returns, using default options, and writing only the ground returns to the output file.

[
    "input.las",
    {
        "type":"filters.csf"
    },
    {
        "type":"filters.range",
        "limits":"Classification[2:2]"
    },
    "output.laz"
]

Options#

resolution

Cloth resolution. [Default: 1.0]

ignore

A range of values of a dimension to ignore.

returns

Return types to include in output. Valid values are “first”, “last”, “intermediate” and “only”. [Default: “last, only”]

threshold

Classification threshold. [Default: 0.5]

hdiff

Height difference threshold. [Default: 0.3]

smooth

Perform slope post-processing? [Default: true]

step

Time step. [Default: 0.65]

rigidness

Rigidness. [Default: 3]

iterations

Maximum number of iterations. [Default: 500]

where

An expression that limits points passed to a filter. Points that don’t pass the expression skip the stage but are available to subsequent stages in a pipeline. [Default: no filtering]

where_merge

A strategy for merging points skipped by a where option when running in standard mode. If true, the skipped points are added to the first point view returned by the skipped filter. If false, skipped points are placed in their own point view. If auto, skipped points are merged into the returned point view provided that only one point view is returned and it has the same point count as it did when the filter was run. [Default: auto]

Contents