Partially supervised classification of optical high spatial resolution images in urban environment using spectral and textural information

Conventional multispectral classification methods exhibit poor performances in the detection of urban objects, in high spatial resolution satellite images. This is because multispectral classification is based on the spectral information of the individual pixels and such spectral information is very...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	De Martino, M., Macchiavello, G., Serpico, S.B.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Clustering algorithms Data mining Feature extraction Multispectral imaging Object detection Optical sensors Satellites Spatial resolution Testing Urban areas
Online-Zugang:	Volltext bestellen
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