Comparison of classifiers of vegetable objects that are built by means of neural networks and Fisher discriminant analysis
DOI:
https://doi.org/10.15587/2313-8416.2014.26402Keywords:
recognition, spectral brightness coefficients, signs, classifier, neural network, perceptronAbstract
The comparison methods of recognition of vegetable objects is given in the article on results of remote sensing. Linear discriminant analysis of Fisher and neural networks methods has been used for the construction of identification mode. The construction of neural networks and classifier built by means of discriminant analysis were made on the basis of experimental data obtained in the field with the help of a spectrometer.
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