
Computer Science
A human-machine collaborative approach measures economic development using satellite imagery
D. Ahn, J. Yang, et al.
This groundbreaking study by Donghyun Ahn and team reveals how machine learning analyzed satellite imagery can unveil economic development indicators, even in data-scarce regions. The model provides insights into North Korea's economic landscape, emphasizing potential for sustainable growth without needing ground-truth data.
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