Hyperspectral image denoising via minimizing the partial sum of singular values and superpixel segmentation
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DOI: 10.1016/j.neucom.2018.11.039
Abstract: Hyperspectral images (HSIs) are often corrupted by noise during the acquisition process, thus degrading the HSI's discriminative capability significantly. Therefore, HSI denoising becomes an essential preprocess step before application. This paper proposes a new HSI… read more here.
Keywords: partial sum; segmentation; hyperspectral image; singular values ... See more keywords