filters.nndistance¶

The NNDistance filter runs a 3-D nearest neighbor algorithm on the input cloud and creates a new dimension, NNDistance, that contains a distance metric described by the mode of the filter.

Default Embedded Stage

This stage is enabled by default

Example¶

[
"input.las",
{
"type":"filters.nndistance",
"k":8
},
{
"type":"writers.bpf",
"filename":"output.las",
"output_dims":"X,Y,Z,NNDistance"
}
]


Options¶

mode
The mode of operation. Either “kth”, in which the distance is the euclidian distance of the subject point from the kth remote point or “avg” in which the distance is the average euclidian distance from the k nearest points. [Default: ‘kth’]
k
The number of k nearest neighbors to consider. [Default: 10]