23 citations · 30 across the 2 of their papers we have counts for
3 papers
Spatial sensitivity analysis for urban land use prediction with physics-constrained conditional generative adversarial networks
Adrian Albert, Jasleen Kaur, Emanuele Strano +1
Accurately forecasting urban development and its environmental and climate impacts critically depends on realistic models of the spatial structure of the built environment, and of…
Modeling urbanization patterns with generative adversarial networks
Adrian Albert, Emanuele Strano, Jasleen Kaur +1
In this study we propose a new method to simulate hyper-realistic urban patterns using Generative Adversarial Networks trained with a global urban land-use inventory. We generated…
Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale
Adrian Albert, Jasleen Kaur, Marta Gonzalez
Urban planning applications (energy audits, investment, etc.) require an understanding of built infrastructure and its environment, i.e., both low-level, physical features (amount…