Wildfire Image Analysis

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Wildfire Image Analysis

With climate change accelerating, new challenges in Natural Disaster Management (NDM) are driving significant advancements in Deep Neural Networks (DNNs), particularly for wildfire detection and segmentation. These tasks demand precise, near real-time decision-making to address the complex and dynamic nature of wildfires. Drone imagery, a primary data source, enables efficient detection and monitoring of fire… Continue reading Wildfire Image Analysis

Sensors and Big Visual Data Analytics for Natural Disaster Management (NDM)

Natural Disaster Management (NDM), such as for wildfires and floods, can be significantly enhanced through automated, precise semantic 3D mapping and disaster evolution prediction, enabling near-real-time decision-making. This requires the analysis and fusion of heterogeneous extreme data sources, including smart drone sensors (e.g., RGB, RGBD, thermal cameras, Lidars), emergency vehicle sensors, in-situ sensors (smoke, moisture,… Continue reading Sensors and Big Visual Data Analytics for Natural Disaster Management (NDM)