Hyperspectral imaging technology for detection of moisture content of tomato leaves

Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011

Volumn 1, Issue , 2011, Pages 167-171

  Zhou, Ying ^a   Mao, Hanping ^a   Zhang, Xiaodong ^a  

^a JIANGSU UNIVERSITY   (China)

Author keywords

content moisture detection; genetic algorithm(GA); hyperspectral imaging; partial least squares regression(PLSR)

Indexed keywords

ADAPTIVE BAND SELECTION; CORRELATION COEFFICIENT; EXTERNAL FEATURES; FEATURE SUBSET; GRAY SCALE; HYPERSPECTRAL IMAGING; HYPERSPECTRAL IMAGING DATUM; HYPERSPECTRAL IMAGING SYSTEMS; MEAN VALUES; MOISTURE DETECTION; MOMENT OF INERTIA; OPTIMAL WAVELENGTH; PARTIAL LEAST-SQUARES REGRESSION; PREDICTION MODEL; REAL VALUES; STANDARD DEVIATION; TARGET IMAGES; TEXTURE FEATURES; TOMATO LEAVES;

GENETIC ALGORITHMS; IMAGING TECHNIQUES; MATHEMATICAL MODELS; MOISTURE; MOISTURE DETERMINATION; OPTIMIZATION; REGRESSION ANALYSIS; STATISTICS; TEXTURES;

SIGNAL DETECTION;

EID: 84862960040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2011.6099906     Document Type: Conference Paper

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