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The article: ‘Data Fusion Analysis and Synthesis Framework for Improving Disaster Situation Awareness’, written by Mehmet Aksit, Hanne Say, Mehmet Arda Eren and Valter Vieira de Camargo has been published by the MDPI Drones Journal. 

03.09.23

Abstract
The concept of situation awareness has been studied extensively and applied in several areas such as disaster management.

We consider situation awareness as the first important step in (resource-management- based) disaster management platforms that we have been researching.


The follow-up steps in this approach are Demand generation, Resource allocation, Task dispatching and tracking, and Gaming-based system tuning and optimization. Unfortunately, there are almost no publications devoted to analysis and synthesis of prospective data fusion configurations in disaster/earthquake management. Moreover, most proposed solutions are problem- and/or system-specific. What is needed is a framework which enables us to define models for a large category of data fusion alternatives. These models can for example be formed manually by an expert or be computed by synthesis algorithms. The framework should be extensible to introduce new models of geographical elements, data sources, and analysis and synthesis algorithms. 

https://www.mdpi.com/2504-446X/7/9/565

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The  alliance is supported by the TÜBİTAK BİDEB program 2232 International Fellowship for Outstanding Researchers. 

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