Mapping Rio de Janeiro's favelas: general-purpose vs. satellite-specific neural networks
Thomas Hallopeau, Joris Guérin, Laurent Demagistri, Youssef Fouzai, Renata Gracie, Vanderlei Pascoal De Matos, Helen Gurgel, Nadine Dessay
公開日: 2025/10/4
Abstract
While deep learning methods for detecting informal settlements have already been developed, they have not yet fully utilized the potential offered by recent pretrained neural networks. We compare two types of pretrained neural networks for detecting the favelas of Rio de Janeiro: 1. Generic networks pretrained on large diverse datasets of unspecific images, 2. A specialized network pretrained on satellite imagery. While the latter is more specific to the target task, the former has been pretrained on significantly more images. Hence, this research investigates whether task specificity or data volume yields superior performance in urban informal settlement detection.