most citedPoverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico

49 citations · 49 across the 1 of their papers we have counts for

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stat.ML2017★ 49 cited

Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico

Boris Babenko, Jonathan Hersh, David Newhouse +2

Mapping the spatial distribution of poverty in developing countries remains an important and costly challenge. These "poverty maps" are key inputs for poverty targeting, public goo…