Learning visual features from figure-ground maps for urban morphology discovery

Jing Wang, Weiming Huang, Filip Biljecki

Abstract: Highlights•Simulating visual interpretation of urban figure-ground maps with machine eyes.•Building on visual representation learning while integrating morphological indicators.•A fully unsupervised approach for learning morphological features, encompassing the spatial layout.•Inventories of typical urban patterns in four cities globally.•Inner- and cross-city comparison of morphological homogeneity.