Dimensionality reduction via regression in hyperspectral imagery

IEEE Journal on Selected Topics in Signal Processing

Volumn 9, Issue 6, 2015, Pages 1026-1036

  Laparra, Valero ^a   Malo, Jesus ^a   Camps Valls, Gustau ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Dimensionality reduction via regression; hyperspectral sounder; Infrared Atmospheric Sounding Interferometer (IASI); landsat; manifold learning; nonlinear dimensionality reduction; principal component analysis (PCA)

Indexed keywords

ALGORITHMS; ERRORS; MATHEMATICAL TRANSFORMATIONS; NONLINEAR ANALYSIS; REGRESSION ANALYSIS; REMOTE SENSING; SPECTROSCOPY;

DIMENSIONALITY REDUCTION; HYPERSPECTRAL; INFRARED ATMOSPHERIC SOUNDING INTERFEROMETERS; LANDSAT; MANIFOLD LEARNING; NONLINEAR DIMENSIONALITY REDUCTION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84939542542     PISSN: 19324553     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSTSP.2015.2417833     Document Type: Article

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