Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling

Hyperspectral restoration is a preprocessing step for hyperspectral imagery. In this letter, we propose a parameter-free method for the restoration of hyperspectral images (HSIs) called HyRes. The restoration method is based on a sparse low-rank model that uses the ℓ ₁ penalized least squares for estimating the unknown signal. The Stein's...