Mapping the World Population One Building at a Time

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Tác giả: Tobias G Tiecke

Ngôn ngữ: eng

Ký hiệu phân loại: 720.48 Buildings by shape, buildings with atriums

Thông tin xuất bản: World Bank, Washington, DC, 2020

Mô tả vật lý:

Bộ sưu tập: Tài liệu truy cập mở

ID: 325035

High resolution datasets of population density which accurately map sparsely distributed human populations do not exist at a global scale. Typically, population data is obtained using censuses and statistical modeling. More recently, methods using remotely-sensed data have emerged, capable of effectively identifying urbanized areas. Obtaining high accuracy in estimation of population distribution in rural areas remains a very challenging task due to the simultaneous requirements of sufficient sensitivity and resolution to detect very sparse populations through remote sensing as well as reliable performance at a global scale. Here, the authors present a computer vision method based on machine learning to create population maps from satellite imagery at a global scale, with a spatial sensitivity corresponding to individual buildings and suitable for global deployment.
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