Support Vector Machines in hyperspectral imaging spectroscopy with application to material identification

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6966, Issue , 2008, Pages

  Garcia Allende, P Beatriz ^a   Anabitarte, Francisco ^a   Conde, Olga M ^a   Mirapeix, Jesus ^a   Madruga, Francisco J ^a   Lopez Higuera, Jose M ^a  

^a UNIVERSITY OF CANTABRIA   (Spain)

Author keywords

Anomaly detection; Imaging spectroscopy; Material identification; Principal Component Analysis (PCA); Support Vector Machines (SVM)

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; AGRICULTURAL PRODUCTS; ALGORITHMS; ATMOSPHERICS; CLASSIFICATION (OF INFORMATION); EVOLUTIONARY ALGORITHMS; FIBER OPTIC SENSORS; FINANCIAL DATA PROCESSING; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; IMAGING TECHNIQUES; INFRARED DEVICES; LEARNING SYSTEMS; PIGMENTS; PLASTICS INDUSTRY; POLYMERS; PRINCIPAL COMPONENT ANALYSIS; TECHNOLOGY; TOBACCO; VECTORS;

ANOMALY DETECTIONS; DIFFUSE REFLECTANCE (DR); EXPERIMENTAL TESTING; GAUSSIAN KERNELS; HYPER-SPECTRAL; HYPERSPECTRAL IMAGE (HSI); HYPERSPECTRAL IMAGING SPECTROSCOPY; IMAGING SPECTROGRAPHS; INDUSTRIAL ENVIRONMENTS; MATERIAL IDENTIFICATION; MULTI-SPECTRAL (MS); NON-LINEAR; SPECTRAL FEATURES; SPECTROSCOPIC IMAGING; TOBACCO INDUSTRY; TOBACCO LEAVES; ULTRASPECTRAL; VECTOR MACHINES;

SUPPORT VECTOR MACHINES;

EID: 44949260162     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.770306     Document Type: Conference Paper

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