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The Monitoring War Destruction project develops an automated system to assess damage from conflicts using high-resolution satellite images and machine learning. This approach aims to improve the speed, accuracy, and cost-effectiveness of damage assessments compared to traditional methods reliant on manual detection.
The Monitoring War Destruction (MONWADES) project aims to develop an automated system for assessing war-related destruction using high-resolution satellite imagery and machine learning.
Current methods, which rely on manual detection and eyewitness reports, are often slow, expensive, and prone to bias.
By integrating computer vision and deep learning techniques, MONWADES seeks to provide a more efficient, accurate, and cost-effective solution for damage assessment, in different conflict zones ar…
LISER - LUXEMBOURG INSTITUTE OF SOCIO-ECONOMIC RESEARCH
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