Institute for Theoretical Information Technology

Pattern Recognition for Field Strength Prediction

In a rural environment the field strength prediction model DiLaP (Direction-specific Land use based Path loss) utilizes land use information. To generate this information, satellite images are automatically classified by neural networks or by a sophisticated k-nearest-neighbor method.

Related research topics and publications

• M. Neunerdt, A. Engels, R. Mathar, Land Use Classification as a Key Component for Path Loss Prediction in Rural Areas, Proceedings: 7th International Symposium on Wireless Communication Systems (IEEE ISWCS), York, United Kingdom, September 2010.
• A. Engels, M. Reyer, R. Mathar, A Direction-Specific Land Use Based Path Loss Model for Suburban/Rural Areas, Proceedings: IEEE AP-S/URSI International Symposium 2010, Toronto, Ontario, Canada, July 2010.

Related projects

• Field strength prediction

Related student work

• Master thesis Landnutzungserkennung in Satellitenbildern mittels automatischer Klassifikationsverfahren zur Anwendung im Mobilfunk

Contact

For further information contact Melanie Neunerdt.