High-resolution SAR and high-resolution optical data integration for sub-urban land-cover classification

This study shows a comparison between pixel-based and object-based approaches in data fusion of high-resolution multispectral GeoEye-1 imagery and high-resolution COSMO-SkyMed SAR data for land-cover/land-use classification. The per-pixel method consisted of a maximum likelihood classification of fu...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Rusmini, M., Candiani, G., Frassy, F., Maianti, P., Marchesi, A., Nodari, F. R., Dini, L., Gianinetto, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive optics COSMO-SkyMed Data integration GeoEye-1 Integrated optics Land-cover/land-use OBIA Optical imaging Optical sensors Remote sensing Synthetic aperture radar
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