Hybridization of filter and wrapper approaches for the dimensionality reduction and classification of hyperspectral images. (arXiv:2210.16496v1 [cs.CV])

The high dimensionality of hyperspectral images often imposes a heavy
computational burden for image processing. Therefore, dimensionality reduction
is often an essential step in order to remove the irrelevant, noisy and
redundant bands. And consequently, increase the classification accuracy.
However, identification of useful bands from hundreds or even thousands of
related bands is a nontrivial task. This paper aims at identifying a small set
of bands, for improving computational speed and prediction accuracy. Hence, we
have proposed a hybrid algorithm …

arxiv classification dimensionality images wrapper