@CONFERENCE\{IMM2006-04482,
    author       = "T. B{\o}vith and A. A. Nielsen and L. K. Hansen and R. S. Gill and S. Overgaard",
    title        = "Detecting Weather Radar Clutter by Information Fusion With Satellite Images and Numerical Weather Prediction Model Output",
    year         = "2006",
    month        = "aug",
    pages        = "511-514",
    booktitle    = "Proceedings of the {IEEE} Geoscience and Remote Sensing Symposium (IGARSS) 2006",
    volume       = "I",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "Denver, Colorado, {USA}",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/4482-full.html",
    abstract     = "A method for detecting clutter in weather radar images by information fusion is presented. Radar data, satellite images, and output from a numerical weather prediction model are combined and the radar echoes are classified using supervised classification. The presented method uses indirect information on precipitation in the atmosphere from Meteosat-8 multispectral images and near-surface temperature estimates from the {DMI-HIRLAM-}S05 numerical weather prediction model. Alternatively, an operational nowcasting product called 'Precipitating Clouds' based on Meteosat-8 input is used. A scale-space ensemble method is used for classification and the clutter detection method is illustrated on a case of severe sea clutter contaminated radar data. Detection accuracies above 90 \% are achieved and using an ensemble classification method the error rate is reduced by 40 \%."
}