A Novel Multispectral, Panchromatic and SAR Data Fusion for Land Classification

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

Volumn 12, Issue 10, 2019, Pages 3966-3979

  Iervolino, Pasquale ^a   Guida, Raffaella ^b   Riccio, Daniele ^c   Rea, Raffaele ^c  

^a AIRBUS DEFENCE AND SPACE   (Germany)

^b UNIVERSITY OF SURREY   (United Kingdom)

^c UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Image classification; image fusion; multispectral imaging; synthetic aperture radar (SAR)

Indexed keywords

DATA HANDLING; IMAGE CLASSIFICATION; IMAGE FUSION; MAXIMUM LIKELIHOOD; MODULATION; TEXTURES; WAVELET TRANSFORMS;

CLASSIFICATION ACCURACY; INTENSITY HUE SATURATIONS; MAXIMUM LIKELIHOOD CLASSIFIERS; MULTISENSOR DATA FUSION; MULTISENSORY DATA; MULTISPECTRAL IMAGING; SEMI-ARID ENVIRONMENTS; SPECTRAL INFORMATION;

SYNTHETIC APERTURE RADAR;

ALGORITHM; DATA SET; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE RESOLUTION; SPECTRAL ANALYSIS; SYNTHETIC APERTURE RADAR;

EID: 85076233426     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2019.2945188     Document Type: Article

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