Applying Neural Networks to Hyperspectral and Multispectral Field Data for Discrimination of Cruciferous Weeds in Winter Crops
Table 4
Percentage of correct classification of cruciferous weeds, and wheat and broad bean crops for multispectral wavebands and spectral vegetation indices obtained from STEPDISC analysis, and from MLP and RBF neural networks.
Wavebands (nm) and spectral vegetation indices
Years
Classification methods
All bands (450–900) and spectral vegetation indices