A Semantic Approach to Information Management and Decision Support: An Application to Humanitarian Demining Operations

Gisslen, Linus; Törne, Anders

doi:10.1109/eisic.2015.34

Cited by 2 publications

(1 citation statement)

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“…The decision support system (DSS) is based on a combination of GIS analysis and a multi-criteria method, in order to enable effective mine action management. GIS is a powerful tool for generating aggregated information used in multi-criteria analysis, as is the link between hierarchic decision levels in the DSS (Knezić and Mladineo 2005;Gisslen and Törne 2015). The DSS results pave the way for the production of thematic mine danger maps.…”

Section: Background To Airborne and Satellite Remote Sensing In Humanmentioning

confidence: 99%

Development of the TIRAMISU Advanced Intelligence Decision Support System

Krtalić

Bajić

2018

European Journal of Remote Sensing

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The Advanced Intelligence Decision Support System (AIDSS) is the first mine action technology in humanitarian demining to combine remote sensing and data fusion methods with advanced surveillance and reconnaissance in a successful operational system. It aims to provide a reliable, efficient tool to support the process of making decisions about suspected hazardous areas, based on the methodology scientifically developed and validated in the FP5 SMART project. The system was developed through Technology Project TP-006/0007-01, supported by the Ministry of Science, Education and Sports of the Republic of Croatia, and deployed in operations in several suspected hazardous areas in Croatia and Bosnia and Herzegovina in 2008 and 2016. It was upgraded in the TIRAMISU project, and its name changed to TIRAMISU Advanced Intelligence Decision Support System. Gaps identified by end-users and system operators were filled in. Among the main results were innovations for generating mine danger maps. In this paper, only the structure of the system and its potential application in non-technical surveys as part of humanitarian demining are shown.

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Section: Background To Airborne and Satellite Remote Sensing In Humanmentioning

confidence: 99%