Reliable road networks drive economic and social development in emerging economies, particularly those in the Global South, and are crucial for achieving Sustainable Development Goals (SDGs). However, a lack of reliable economic indicators hinders progress monitoring. The authors propose a data-driven solution by combining machine learning (ML) and remote sensing to assess road quality. Training state-of-the-art vision transformers on satellite imagery...
Подробнее
ПОДРОБНАЯ ИНФОРМАЦИЯ
-
2024/05/31
-
Рабочие документы
-
190799
-
1
-
2024/06/03
-
Disclosed
-
Eyes on the Road : Evaluating Road Quality over Time Using Satellite Imagery in Eastern Democratic Republic of the Congo