[pdal] Filtering by Classification, Return #, etc

[Bradley Chambers]

For pipeline use of the range filter, you can also take a look at
https://github.com/PDAL/PDAL/blob/master/test/data/filters/range_z_classification.xml.in
.

Brad

On Thu, Feb 12, 2015 at 3:49 PM, Howard Butler <howard at hobu.co> wrote:

>
> > On Feb 12, 2015, at 3:39 PM, Matthew Hanson <
> mhanson at appliedgeosolutions.com> wrote:
> >
> > I think I now mostly understand the complete process necessary to go
> from our collected point clouds to DEM products.
> >
> > However, when trying to construct the filter to filter out the ground
> points, I realized that the PassThrough filter only supports certain
> dimensions and Classification is not one of them (I was going to set min
> and max Classification to 2).   On a similar note I'll want to filter by
> other things such as return number.
> >
> > So it looks like I just need to put together a Python function and use a
> predicate filter, which looks easy enough.   However I wanted to make sure
> I'm not missing anything.   Is there another, preferred way to do this
> filtering?    I'm especially interested in speed as we'll be processing a
> fair amount of data.
>
> There is a new thing called filters.rangefilter that you can use to do
> this filtering. You are correct that normally you would reach for the
> Python filter, and that was the prescribed way to do this in the past. The
> rangefilter is a kind of specialization of this common task, whereas you
> would use the Python filter for something more complex like "give me last
> returns".
>
> See the RangeFilter test code for inspiration on how to say what you want.
>
>
> https://github.com/PDAL/PDAL/blob/master/test/unit/filters/RangeFilterTest.cpp
>
> > Thanks again for all the help from the developers, it's been a great
> help.   I'll buy you a drink if I see you at FOSS4G in SF next month.
>
> Unfortunately, I have used all of my familial travel credits on the Philly
> Code Sprint, which has been a great success as far as PDAL is concerned.
> Michael Gerlek plans to attend, and I'm sure he'd be happy to connect with
> you over a beverage.
>
> Howard
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