Haven't seen it in practice, though I do have an idea whom I could ask. The "pattern" I mean is that there is a special kind of randomness to the data: whereas buildings tend to be high or low according to a regular geometric form, a tree has high points (where the beam touches a high branch or leaf) and low points (where the beam goes all the way down to the ground or a lower branch/leaf). If you visualise the raw data, it should be quite obvious to the human eye.
2017-10-23 15:39 GMT+02:00 Glenn Plas <[email protected]>: > Do you have more information on that algorithm (I assume this is what you > mean by special pattern) ? > > Quite interested in trying to get this from elevation data. > > Glenn > > An interesting thing about raw lidar data is that it can help identify > trees, as they have a special kind of pattern in the data. So you could use > processed data to identify potentially missing landuse=forest / tree rows / > trees. > > -- > Joost Schouppe > > > _______________________________________________ > Talk-be mailing > [email protected]https://lists.openstreetmap.org/listinfo/talk-be > > > -- Joost Schouppe OpenStreetMap <http://www.openstreetmap.org/user/joost%20schouppe/> | Twitter <https://twitter.com/joostjakob> | LinkedIn <https://www.linkedin.com/pub/joost-schouppe/48/939/603> | Meetup <http://www.meetup.com/OpenStreetMap-Belgium/members/97979802/>
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