Tensor-Driven Hyperspectral Denoising: A Strong Link for Classification Chains?

摘要

We show how a tensor-driven anisotropic diffusion denoising method affects the performance of a classifier trained to discriminate among vine varieties in noisy hyper spectral images. We compare the classification statistics on the original and denoised images and discuss the convenience of this kind of preprocessing for classification in hyperspectral images.