Model-based sensor fusion for minefield detection

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Abstract
Minefields have become an increasing threat in modern warfare due to new developments in electronic and explosive technologies. Therefore the planning and realization of troop movements need a far-reaching, fast running detection of minefields and a determination of their precise extension and location. For this task, an airborne reconnaissance system (AAMIS) will be realized by German industry. The technical concept of AAMIS comprises the multisensorial equipment, the carrier, the data transmission, the ground station, and the data processing. Within the scope of AAMIS, the problem of higher, sophisticated data processing will be addressed by FIM. Based on the long experience in image processing, our task hereby is focusing on the following main topics: (1) detection of individual (buried or unburied) mines as cues to minefields using iconic data processing, model-based data analysis, and sensor fusion; (2) determination of minefields and their outlines by methods of structure analysis and grouping based on the detected individual mines; and (3) extraction of background structures and environmental objects to support the detection of individual mines and the determination of minefields.

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