Humanitarian Demining

Project Members:

Partner:

Funding: BMBF, 754.000 € (of 4.200.000 € total)

Duration: 04/2004 - 03/2007

Project Description: Anti-personnel land mines are one of the war legacies with the most serious consequences for the population and industries of countries which have been at war. Therefore the improvement of metal detectors for humanitarian demining is still an area of major interest for these countries. In this project, special software applications for metal detectors were presented which minimize the false alarm rate by using noise reduction methods, and enable identification of mines by means of self-learning algorithms, such as neural networks and vector supporting machines (CI methods). The major advantage of these methods stems from the fact that geologically and meteorologically based anomalies of the soil structure can be identified as non-relevant information, incomplete data sets can be completed, and system parameters, hidden up to now, can be identified. As our investigations demonstrate, our system allows to calculate the position and depth of the mines, identify mine-like structures, and deal with effects caused by the soil structure.

Contact E-Mail: matthias.reuter [at] tu-clausthal.de

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