Hyperspectral Shadow Removal via Nonlinear Unmixing
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DOI: 10.1109/lgrs.2020.2987353
Abstract: Removing shadows that are often present in remotely sensed hyperspectral images is important for both enhancing the interpretability of the data and further target analysis. Shadow removal approaches based on spectral unmixing have been proposed… read more here.
Keywords: unmixing hyperspectral; removal; nonlinear unmixing; shadow removal ... See more keywords