Learning to Combine Spectral Indices with Genetic Programming
Juan F. H. Albarracín, Jefersson Alex Dos Santos, Ricardo da Silva Torres · 2016
This paper introduces a Genetic Programming-based method for band selection and combination, aiming to support remote sensing image classification tasks. Relying on ground-truth data, our method selects spectral bands and finds the arithmetic combination of those bands (i.e., spectral index) that best separates examples of different classes. Experimental results demonstrate that the proposed method is very effective in pixel-wise binary classification problems.