Abstract

The reflectance spectrum has hundred bands of spectral information. The construction of the right Spectral characteristics in such huge information is important for the Classification of tobacco leaves of different maturity. When implementing the continuum removal method to extract Spectral feature, two results has been shown. One result shows that there are ten spectral features which can be used in Classification research, but only the red edge position and C3 feature performs better. The other result shows that Matching C2 or C3 with other features will boost Class separability. When constructing the eigenvector based on the ten features, it is better to consider them as the component.

Keywords:

Continuum removal, J-M distance, maturity, sensitive bands, spectral feature,

References

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.