[pdal] Filtering atmospheric noise

[Andreas Yankopolus]

> On Mar 9, 2022, at 17:09, Bradley Chambers <brad.chambers at gmail.com> wrote:
> 
> You might have luck with https://pdal.io/stages/filters.reciprocity.html#filters-reciprocity <https://pdal.io/stages/filters.reciprocity.html#filters-reciprocity> or https://pdal.io/stages/filters.miniball.html#filters-miniball <https://pdal.io/stages/filters.miniball.html#filters-miniball>, though I think both may require a bit of trial and error to determine the correct neighborhood size to use.

These both look great. I’ll run example data through them and inspect the new dimension in QGIS or CC.

The goal in all this is calculating a surface-height raster that will get combined with USGS terrain-height and NLCD category rasters for radio propagation calculations. Capturing building roofs is very important, but I can filter the side. I expect that tuning will be necessary based on the point density in the lidar collect.

> On Mar 9, 2022, at 17:16, Michael Smith <michael.smith.erdc at gmail.com> wrote:
> 
> Filters.dem is also a useful filter to removing some of this high noise https://pdal.io/stages/filters.dem.html

I’ll always have a terrain raster for comparison, so this could work as well if I know the tallest building in advance.

Thanks,

Andreas
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