A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance

D Runfola, A Stefanidis, Z Lv, J O'Brien… - International Journal of …, 2024 - Taylor & Francis
Abstract Convolutional Neural Networks (CNNs) are leveraged for a wide range of satellite
imagery information extraction tasks. However, for tasks which seek to estimate aggregated …

Predicting Protests and Riots in Urban Environments With Satellite Imagery and Deep Learning

S Warnke, D Runfola - Transactions in GIS, 2024 - Wiley Online Library
Conflict, manifesting as riots and protests, is a common occurrence in urban environments
worldwide. Understanding their likely locations is crucial to policymakers, who may (for …