Comparison of the efficacy of spectral pre-treatments for wheat and weed discrimination in outdoor conditions
We modeled spectral variability obtained with wheat and weed reflectance spectra. We examined pre-treatment influence on discrimination results using PLS-LDA and SVM. We discussed the bias and class separability obtained with PLS-LDA scores. Results prove that smoothing and logarithm are the best pre-treatments for this study.
pre-treatment discrimination supervised classification reflectance spectrum chemometrics hyperspectral