Hi Piero,
Douglas-Peucker won't do anything to a point-cloud; it removes vertices
from lines and polygons. What you want is some sort of thinning algorithm, I'm
not sure if there's such a thing in the JTS (none of the ones on:
http://www.vividsolutions.com/jts/javadoc/com/vividsolutions/jts/simplify/package-frame.html
look applicable).
Thoughts:
* Can you do all (or at least some) of this process database side? That may
be preferable. PostGIS and the pointcloud extension has a lot of powerful tools.
* How about pre-thinning (cull) the points so that you only have the detail
level that you need in your data store?
* There's also PDAL - http://www.pdal.io/
Cheers,
Jonathan
---- On Tue, 05 Apr 2016 07:58:38 +0100 Piero
Campalani<[email protected]> wrote ----
Dear list,
I am (again :)) buffering a cloud of points ("buffering" as in spatial analysis
sense).
The step from MultiPointFeature to (Multi)Polygon rapidly becomes a performance
bottleneck as I have to repeat this operation several times per second.
I am keeping performance scalable by segmenting the points as my cloud gets
updated so that I only have to process a limited number of points.
The little drawback is that overlapping "artifacts" appear here and there where
different features ("segments") overlap -- (fill color has transparency). But I
don't mind this.
I am wondering if there is some technique that can further bring down the cost
of the buffering, especially with respect to the current map scale.
The density of the points is pretty high so an ad-hoc simplification of the
point cloud might be a good thing.
At a first I do not see remarkable gains whenever I apply one of these JTS
simplifiers (Douglas-Peucker or TPS), but maybe I am misusing them.
Or maybe this is not exactly the use-case their are meant for. ?
I'd just like to dig a little more.. Has anyone experience with JTS simplifiers?
Any other practical suggestions for my case?
Thank you,
-Piero
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