Classification of foreign matter embedded inside cotton lint using short wave infrared (SWIR) hyperspectral transmittance imaging

Computers and Electronics in Agriculture

Volumn 139, Issue , 2017, Pages 75-90

  Zhang, Mengyun ^a,b   Li, Changying ^b   Yang, Fuzeng ^a  

^a NORTHWEST A F UNIVERSITY   (China)

^b University of Georgia   (United States)

Author keywords

Classification; Cotton foreign matter; Feature selection; Hyperspectral imaging; Transmittance imaging

Indexed keywords

CLASSIFICATION (OF INFORMATION); COTTON; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; IMAGE RETRIEVAL; INFRARED DEVICES; INFRARED RADIATION; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; FEATURE SELECTION METHODS; FOREIGN MATTER; LINEAR DISCRIMINANT ANALYSIS; MINIMUM NOISE FRACTION; OPERATION PARAMETERS; SHORT-WAVE NEAR-INFRARED; TRANSMITTANCE IMAGES;

HYPERSPECTRAL IMAGING;

COTTON; DISCRIMINANT ANALYSIS; EXPERIMENTAL STUDY; IMAGE CLASSIFICATION; IMAGING METHOD; NUMERICAL METHOD; PERFORMANCE ASSESSMENT; PIXEL; SUPPORT VECTOR MACHINE; TRANSMITTANCE;

GOSSYPIUM HIRSUTUM;

EID: 85019884177     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2017.05.005     Document Type: Article

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