Remote Sensing Minefield Area Reduction: Model-Based Approaches for the Extraction of Minefield Indicators

Details Remote Sensing Minefield Area Reduction: Model-Based Approaches for the Extraction of Minefield Indicators Remote Sensing Minefield Area Reduction: Model-Based Approaches for the Extraction of Minefield Indicators

Sep 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.553e..18k&link_type=abstract

Proceedings of ESA-EUSC 2004 - Theory and Applications of Knowledge-Driven Image Information Mining with Focus on Earth Observa

Statistics

Applications

Remote Sensing, Minefield Indicators, Image Segmentation, Labelling, Markov Random Fields, Perceptual Organization

Scientific paper

The use of high resolution commercial satellite and airborne images for the survey of landmine suspected areas has been suggested recently in the context of Mine Action to (i) map the hazardous area (suspected minefield), and (ii) possibly reduce its extend. Minefields may be identified using methods that directly detect and confirm the location of landmines. Next to this approach, indirect indicators, closely related to the occurrence of the minefields themselves can be used. Such indicators correspond either to direct military activities, e.g. trenches, embankments, protection walls, bunkers, foxholes, fences, etc, or changes in the landscape, e.g. abandoned arable land, unused roads, foot paths and tracks through fields, etc. The present work investigates model-based approaches for the (semi-) automatic extraction of some of the indirect minefield indicators from high resolution airborne images.

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