Handling large datasets of hyperspectral images: Reducing data size without loss of useful information

Analytica Chimica Acta

Volumn 802, Issue , 2013, Pages 29-39

  Ferrari, Carlotta ^a   Foca, Giorgia ^a   Ulrici, Alessandro ^a  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

Author keywords

Data compression; Hyperspectral imaging; Multivariate image analysis; Variable selection

Indexed keywords

DATA COMPRESSION; INDEPENDENT COMPONENT ANALYSIS; INFRARED DEVICES; NONDESTRUCTIVE EXAMINATION;

HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE DATAS; HYPERSPECTRAL IMAGING; MULTIVARIATE IMAGE ANALYSIS; NON-DESTRUCTIVE TECHNIQUE; SPATIAL INFORMATIONS; VARIABLE SELECTION; VARIABLE SELECTION METHODS;

SPECTROSCOPY;

ARTICLE; AUTOMATION; CALIBRATION; CHEMOMETRIC ANALYSIS; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DATA ANALYSIS; HYPERSPECTRAL IMAGING; HYPERSPECTROGRAM; IMAGE RECONSTRUCTION; IMAGING AND DISPLAY; INFORMATION PROCESSING; PRIORITY JOURNAL;

DATA COMPRESSION; HYPERSPECTRAL IMAGING; MULTIVARIATE IMAGE ANALYSIS; VARIABLE SELECTION;

ALGORITHMS; CALIBRATION; DATABASES, FACTUAL; IMAGE PROCESSING, COMPUTER-ASSISTED; SPECTROSCOPY, NEAR-INFRARED;

EID: 84886752351     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2013.10.009     Document Type: Article

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