Experimental approach to the selection of the components in the minimum noise fraction

IEEE Transactions on Geoscience and Remote Sensing

Volumn 47, Issue 1, 2009, Pages 153-160

  Amato, Umberto ^a   Cavalli, Rosa Maria ^a   Palombo, Angelo ^a   Pignatti, Stefano ^a   Santini, Federico ^a  

^a CNR   (Italy)

Author keywords

Image enhancement; Image processing; Image restoration; Noise; Remote sensing

Indexed keywords

AIRCRAFT; DIGITAL IMAGE STORAGE; DIGITAL SIGNAL PROCESSING; EXPERIMENTS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING SYSTEMS; LIBRARIES; REMOTE SENSING; RESTORATION; SPECTROMETERS; SPECTROMETRY;

ANCILLARY DATUMS; ATMOSPHERIC VARIABILITIES; DARK CONDITIONS; DATA DRIVEN; DATA SETS; EXPERIMENTAL APPROACHES; EXPERIMENTAL MEASUREMENTS; EXPERIMENTAL METHODS; IMAGE RESTORATION; LAND CONDITIONS; MINIMUM NOISE FRACTIONS; MULTISPECTRAL; NOISE; NOISE STRUCTURES; NUMBER OF COMPONENTS; OPTIMAL NUMBERS; PRINCIPAL COMPONENTS; PROCESS IMAGES; PUBLIC LIBRARIES; SIMULATED IMAGES; SYNTHETIC IMAGES; SYNTHETIC NOISES;

IMAGE ENHANCEMENT;

AIRCRAFT; ALGORITHM; COMPARATIVE STUDY; EXPERIMENTAL STUDY; IMAGE PROCESSING; IMAGERY; MULTISPECTRAL IMAGE; NOISE; PRINCIPAL COMPONENT ANALYSIS; SATELLITE DATA; SPECTROMETRY;

EID: 58149123383     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2008.2002953     Document Type: Article

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