www.adv-radio-sci.net/2/237/2004/ doi:10.5194/ars-2-237-2004 © Author(s) 2004. This work is licensed under a Creative Commons License. "easyMine" – realistic and systematic mine detection simulation tooltion 1DLR -, Institute of Transport Research, Rutherfordstr. 2, 12489 Berlin 2DLR -, Remote Sensing Technology Institute, Münchener Str. 20, 82234 Wessling 3DLR -, Institute for Structural Mechanics, Rutherfordstr. 21, 2489 Berlin 4BAM -, Unter den Eichen 87, 12205 Berlin 5DLR -, Microwaves and Radar Institute, Münchener Str. 20, 82234 Wessling 6BTU -, Cottbus, Postfach 10 13 44, 03013 Cottbus Abstract. Mine detection is to date mainly performed with metal detectors, although new methods for UXO detection are explored worldwide. The main problem for the mine detection to date is, that there exist some ideas of which sensor combinations could yield a high score, but until now there is no systematic analysis of mine detection methods together with realistic environmental conditions to conclude on a physically and technically optimized sensor combination. This gap will be removed by a project “easyMine" (Realistic and systematic Mine Detection Simulation Tool) which will result in a simulation tool for optimizing land mine detection in a realistic mine field. The project idea for this software tool is presented, that will simulate the closed chain of mine detection, including the mine in its natural environment, the sensor, the evaluation and application of the measurements by an user. The tool will be modularly designed. Each chain link will be an independent, exchangeable sub- module and will describe a stand alone part of the whole mine detection procedure. The advantage of the tool will be the evaluation of very different kinds of sensor combinations in relation of their real potential for mine detection. Three detection methods (metal detector, GPR and imaging IR-radiometry) will be explained to be introduced into the easyMine software tool in a first step. An actual example for land mine detection problem will be presented and approaches for solutions with easyMine will be shown. Full Article in PDF (PDF, 307 KB) Citation: Böttger, U., Beier, K., Biering, B., Müller, C., Peichl, M., and Spyra, W.: "easyMine" – realistic and systematic mine detection simulation tooltion, Adv. Radio Sci., 2, 237-239, doi:10.5194/ars-2-237-2004, 2004. Bibtex EndNote Reference Manager XML |