ProjectSpace- and Airborne Mined Area Reduction ToolEC Contribution: 2.757.449 euro Project Abstract: SMART aims to provide deminers (end-user) with safe, user-friendly, cost-effective, efficient and innovative tools for the monitoring of the environment and for the assistance to people in countries afflicted by landmines. The system is designed to achieve a higher quality of the service, which will efficiently improve level 1 minefield surveys. For that, SMART will collect data with an airship multisensor survey system and carry ground truth data collection sessions, process all data using data fusion techniques, landcover classification tools, anomaly detection algorithms. The system will provide integrated tools and data into the minefield survey system of the end-user and validate the results on validation test sites. SMART aims not at solving automatically the problem of mine suspected area reduction, but at helping the human analysts in their interpretation tasks. Objectives: The main objectives of SMART are:
Description of the Work: A lot of time is lost inspecting areas that turn out to be mine free. Deminers are looking forward to methods that can reduce the suspected areas. An important lesson of some EC projects is that it is impossible to detect AP-mines with very high aerial photography. For that reason, SMART aims to reduce the suspected areas indirectly using land-cover classification and anomaly detection such as change detection. The data collection module of SMART will consist in the organisation of an airborne campaign (active full polarimetric SAR and passive multi-spectral sensors), the gathering of existing spaceborne data and the collection of ground-truth data, expert knowledge and context information. SMART aims to transform raw data into meta-data that will be useful for the end-user survey expert. The transformation of raw data into meta-data will be based upon land-cover classification and change detection. In order to use all available information, data fusion will be achieved. Data fusion techniques are needed to merge spectral bands of one sensor, to combine the airborne data with the spaceborne data, to merge data from active sensors with ones of passive sensors and to integrate the expert knowledge and context information. A pre-processing module will transform data so that fusion can be applied. In this module, the effort will be on geo-coding and registration of airborne data. The SMART tools will be integrated into the minefield survey management system of the end-user. Besides the development of processing tools, the accent will be on their validation. The survey analyst will for that reason actively be involved from the beginning of the project. Link http://www.smart.rma.ac.be/ Contact Person Daniele Galardini Related Organisations
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