Re:Terrapattern: a visual search tool for satellite imagery
by workergnome on Wednesday May 25, 2016 @05:22PM
(#11773229)
We found the same—using OSM data that just had points was problematic, both because of accuracy and because it tended to often be the front door, not the centroid of the object.
I believe we limited our model generation to selecting places that had outlines, and computed the centroid of that outline. One of the benefits of our technique is that we didn't need to be comprehensive—we can throw out lots of places and still have enough to be useful for the model.
Re:Terrapattern: a visual search tool for satellite imagery
by maxerickson on Wednesday May 25, 2016 @05:10PM
(#11773128)
Most of the messy point features in the US were imported from GNIS. TIGER is the primary source for the messy line features.
Sticking to features modeled as areas would generally avoid the spatial accuracy problems with GNIS.
Any thoughts on how that affects your model?