Isometimes work on Senegal from Bing imagery,and I'll hopefully convince
some Senegalese friends to help me with names and POI. I took a look at
the competition's progress and I have been very impressed : whereas
Openstreetmap could formerly claim better coverage in Africa, it is now
lagging in volume behind Google - take a look at
http://goo.gl/maps/mH3pK (equivalent area in OSM at
http://osm.org/go/azSB9oX--). Google now features impressive mileage of
dirt tracks and residential dirt streets in obscure backwaters.
Surely the Google survey cars are not roaming those places - or I would
be astonished. Does anyone knows how they do it ?A couple of years ago,
I had posted my suspicions about them using automated tracing techniques
in general and street grid detection in particular:
http://lists.openstreetmap.org/pipermail/talk/2010-January/046539.html -
but since then it seems that their techniques have improved a lot. Does
anyone have information about the technology they use and how it could
benefit OSM ? Maybe they just have an army of tracers, but automation
seems more like how Google solves problems.
Last time played with it, the results of the Bing road detect API did
not look satisfactory to me- but there may have been progress since
those early days. But wouldn't road detection perform better using
imagery in different bands -multispectral or even hyperspectral imagery
? The Bing satellite imagery render uses false color images fit for
pleasant human use- but surely the rawcaptured data is richer. Are there
any remote sensing specialist here to enlighten about that ?
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