Monitoring War Destruction from Space: A Machine Learning Approach

Existing data on building destruction in conflict zones rely on eyewitness reports or manual detection, which makes it generally scarce, incomplete and potentially biased. This lack of reliable data imposes severe limitations for media reporting, humanitarian relief efforts, human rights monitoring,...

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Veröffentlicht in:	arXiv.org 2020-10
Hauptverfasser:	Mueller, Hannes, Groger, Andre, Hersh, Jonathan, Matranga, Andrea, Serrat, Joan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Destruction Disaster relief Image reconstruction Image resolution Machine learning Measurement methods Monitoring Quantitative Finance - Economics Satellite imagery
Online-Zugang:	Volltext
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