Geographical Origin and Years Identification of Maize Seeds Based on the Hyperspectral Image

Abstract:

Hyperspectral image technology was investigated to identify the geographical origin and years of maize seeds. First,hyperspectral images of different geographical origin and years were acquired using hyperspectral imaging system. Subsequently,four spectral features of each maize seed covered the spectral region of 400 ~1 000 nm contained 233 wavelengths were extracted utilizing the results of active contour model. Final,the identification models were developed using different spectral characteristics and preprocessing methods coupled with partial least squares discriminant analysis. The result showed that the accuracy rate of training and testing set was 99.11% and 98.39% for geographical origin and years identification using optimal feature and preprocessing method,respectively. It is indicated that hyperspectral image technology is an effective method to identify the geographical origin and years of maize seeds.