Pixel unmixing in hyperspectral data by means of neural networks

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 11 PART 1, 2011, Pages 4163-4172

  Licciardi, Giorgio A ^a,b   Del Frate, Fabio ^b  

^a GIPSA LAB   (France)

^b UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

Autoassociative neural networks (AANNs); dimensionality reduction; hyperspectral; NNs; nonlinear principal components; pixel unmixing

Indexed keywords

AUTOASSOCIATIVE NEURAL NETWORKS; DIMENSIONALITY REDUCTION; HYPERSPECTRAL; NNS; PIXEL UNMIXING; PRINCIPAL COMPONENTS;

PIXELS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPECTROMETERS; SPECTROMETRY;

NEURAL NETWORKS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; DATA SET; EXPERIMENTAL STUDY; INFRARED IMAGERY; PIXEL; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPECTRAL ANALYSIS; SPECTROMETER;

EID: 80455173952     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2160950     Document Type: Article

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