Mainstream architectures of convolutional neural networks (CNNs) for image recognition
follow the protocol of shrinking input data size to extract semantic information. However …

Accurate geographic data of slums are important for handling urban poverty issues.
Previous slum mapping studies using high-resolution or very-high-resolution (HR/VHR) …

ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …

As low-quality housing and in particular certain roof characteristics are associated with an
increased risk of malaria, classification of roof types based on remote sensing imagery can …

Future cities are viewed as environments that will provide opportunities for all populations
(gender, age and persons with disability) with access to basic services, energy, housing and …

In this paper, we describe a multi-scale machine learning approach to estimate socio-
economic attributes of citizens based on the analysis of aerial images. To analyse the …

Les changements mondiaux modernes, tels que le changement climatique et la sixième
extinction de masse, perturbent profondément nos sociétés et nos écosystèmes. Les …

Urban villages are areas filled with rural-like improvised structures in Chinese cities, usually
housing the most vulnerable groups. Under the guidance of the Sustainable Development …

City authorities have disapproved of the proliferation of informal settlements due to the
pollution caused in such environments. This study sought to identify the sources of pollution …