[Talk-ca] using image recognition to create building foot prints.
john whelan
jwhelan0112 at gmail.com
Mon Jan 29 20:15:32 UTC 2018
ยท
*NRCan is working on a methodology to extract building footprints,
including topographic elevation and height attributes, from LiDAR*
*Traditionally OSM has not been happy with this sort of thing. The
accuracy can be poor.*
*We probably need to think about this since the BC2020i project had this
mentioned and Stats Can has given it a mention also. I'm not promoting it
nor saying its bad but it will almost certainly be raised shortly.*
*First if an import was done using this data who would be the local group
to approve it? I suspect because it covers the entire country it would be
the talk-ca group. The date would come through the TB portal so licensing
is not an issue. Or it could be split into regions with regional local
groups making decisions.*
*The other very big question is to do with data quality. So far nothing
that is machine learnt from imagery has consistently met the expectations
of OpenStreetMap.*
*Note to Pierre I'm not sure if you are on the talk-ca mailing list but any
feedback you might have on the data quality side would be welcome and will
be shared amongst the group.*
*Thoughts?*
*Thanks John*
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