Geographical classification of apple based on hyperspectral imaging

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8721, Issue , 2013, Pages

  Guo, Zhiming ^a,b   Huang, Wenqian ^a   Chen, Liping ^a,c   Zhao, Chunjiang ^a,c   Peng, Yankun ^b  

^a INSTITUTE OF PLANT AND ENVIRONMENT PROTECTION   (China)

^b CHINA AGRICULTURAL UNIVERSITY   (China)

^c National Engineering Research Center of Intelligent Equipment for Agriculture   (China)

Author keywords

Apple; Feature extraction; Geographical origin; Hyperspectral imaging; Support vector machine

Indexed keywords

APPLE; GEOGRAPHICAL ORIGINS; GRAY LEVEL CO OCCURRENCE MATRIX(GLCM); HYPERSPECTRAL IMAGING; HYPERSPECTRAL IMAGING DATUM; HYPERSPECTRAL IMAGING TECHNIQUES; HYPERSPECTRAL IMAGING TECHNOLOGIES; SUPERVISED PATTERN RECOGNITION;

AGRICULTURE; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; FRUITS; IMAGING TECHNIQUES; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

SPECTROSCOPY;

EID: 84881142991     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2015559     Document Type: Conference Paper

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