USING SATELLITE IMAGERY FOR GOOD: DETECTING COMMUNITIES IN DESERT AND MAPPING VACCINATION ACTIVITIES October 27, 2020 – Posted in: Uncategorized

Deep convolutional neural networks (CNNs) have outperformed existing object recognition and detection algorithms. This paper describes a deep learning approach that analyzes a geo-referenced satellite image and efficiently detects built structures in it. A Fully Convolutional Network (FCN) is trained on low-resolution Google earth satellite imagery in order to achieve the end result. The detected built communities are then correlated with the vaccination activity.

ANZA SHAKEEL, MOHSEN ALI
ARXIV 2017

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