filters.trajectory

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filters.trajectory#

The trajectory filter computes an estimate the the sensor location based on the position of multiple returns and the sensor scan angle. It is primarily useful for LAS input as it requires scan angle and return counts in order to work.

The method is described in detail here. It extends the method of [Gatziolis and McGaughey, 2019].

Note

This filter creates a new dataset describing the trajectory of the sensor, replacing the input dataset.

Examples#

[
    "input.las",
    {
        "type": "filters.trajectory"
    },
    "trajectory.las"
]

Options#

dtr

Multi-return sampling interval in seconds. [Default: .001]

dst

Single-return sampling interval in seconds. [Default: .001]

minsep

Minimum separation of returns considered in meters. [Default: .01]

tblock

Block size for cublic spline in seconds. [Default: 1.0]

tout

Output data interval in seconds. [Default: .01]

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]

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