Spatial–spectral total variation regularized low-rank tensor decomposition for hyperspectral image denoising - 源码 - 源码 - 免费下载

Spatial–spectral total variation regularized low-rank tensor decomposition for hyperspectral image denoising

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资源说明：Several bandwise total variation (TV) regularized low-rank (LR)-based models have been proposed to remove mixed noise in hyperspectral images (HSIs). These methods convert high-dimensional HSI data into 2-D data based on LR matrix factorization. This strategy introduces the loss of useful multiway structure information. Moreover, these bandwise TV-based methods exploit the spatial information in a separate manner. To cope with these problems, we propose a spatial–spectral TV regularized LR tenso

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