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Automated School Location Mapping at Scale from Satellite Imagery Based on Deep Learning
2022
Remote Sensing
Computer vision for large scale building detection can be very challenging in many environments and settings even with recent advances in deep learning technologies. Even more challenging is modeling to detect the presence of specific buildings (in this case schools) in satellite imagery at a global scale. However, despite the variation in school building structures from rural to urban areas and from country to country, many school buildings have identifiable overhead signatures that make them
doi:10.3390/rs14040897
fatcat:ktmtwzzfwvbs7okhmh6t2vqtrq