Statistical classification for assessing prisma hyperspectral potential for agricultural land use

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 6, Issue 2, 2013, Pages 615-625

  Amato, Umberto ^a   Antoniadis, Anestis ^b   Carfora, Maria Francesca ^a   Colandrea, Paolo ^c   Cuomo, Vincenzo ^a   Franzese, Monica ^a   Pignatti, Stefano ^a   Serio, Carmine ^d  

^a CNR   (Italy)

^b UNIV GRENOBLE ALPES   (France)

^c Structural Design and Analysis department   (Italy)

^d UNIVERSITY OF BASILICATA   (Italy)

Author keywords

discriminant analysis; Hyperspectral data; independent components; land use

Indexed keywords

AGRICULTURAL MONITORING; CURSE OF DIMENSIONALITY; HIGH SPECTRAL RESOLUTION IMAGES; HYPERSPECTRAL DATA; HYPERSPECTRAL INFORMATION; INDEPENDENT COMPONENTS; NON-PARAMETRIC TECHNIQUES; STATISTICAL CLASSIFICATION;

AGRICULTURE; DISCRIMINANT ANALYSIS; LAND USE; REMOTE SENSING;

SUPPORT VECTOR MACHINES;

AGRICULTURAL LAND; DISCRIMINANT ANALYSIS; IMAGE RESOLUTION; LAND USE; MULTISPECTRAL IMAGE; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SPECTRAL RESOLUTION; VEGETATION CLASSIFICATION;

EID: 84877925365     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2255981     Document Type: Article

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