Urban Grammar
“Learning from Deep Learning”
Lessons from using computer vision to identify
(urban) form and function in open data satellite
imagery
#AAG2023
This “season”
What
Explore the extent to which neural
networks can recognise spatial
signatures from satellite
imagery
Why
Learn about Spatial Signatures (scale, context)
Explore the potential of NNs for cities
Work towards more frequent Spatial Signatures
Conclusions
Space matters for the
spatial signaturesThere’s value in combining NNs
& other ML
A bit closer to frequent
Spatial Signatures
Urban Grammar
“Learning from Deep Learning”
Lessons from using computer vision to identify
(urban) form and function in open data satellite
imagery
#AAG2023
Resume presentation
Urban Grammar “Learning from Deep Learning” Lessons from using computer vision to identify
(urban) form and function in open data satellite
imagery #AAG2023 Dani
Arribas-Bel @darribas Martin
Fleischmann @martinfleis
