Digital techniques for image processing and automatic classification in remote sensing applications are described. Some digital filters suitable for radar noise reduction are first reviewed. A new filtering algorithm for multiplicative noise rejection is then proposed. Some algorithms using the maximum likelihood decision rule or the euclidean distance are applied to pre-processed images for an automatic discrimination of agricultural crops
Noise-reduction algorithms for digital SAR images and remote sensing applications / Alparone, L.; Benelli, G.; Cappellini, V.. - STAMPA. - (1988), pp. 79-87. (Intervento presentato al convegno 8th EARSeL symposium tenutosi a Capri, Ita nel 1988).
Noise-reduction algorithms for digital SAR images and remote sensing applications
ALPARONE, LUCIANO;CAPPELLINI, VITO
1988
Abstract
Digital techniques for image processing and automatic classification in remote sensing applications are described. Some digital filters suitable for radar noise reduction are first reviewed. A new filtering algorithm for multiplicative noise rejection is then proposed. Some algorithms using the maximum likelihood decision rule or the euclidean distance are applied to pre-processed images for an automatic discrimination of agricultural crops
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