Spatial Structural Priors for Sparse Unmixing of Remotely Sensed Hyperspectral Images
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DOI: 10.1109/jstars.2025.3624109
Abstract: As spectral libraries continue to expand, sparse unmixing has become essential for effectively interpreting mixed pixels in remotely sensed hyperspectral data. Integrating spatial information into sparse unmixing is very important to enhance unmixing performance. However,… read more here.
Keywords: sparse; hyperspectral images; sparse unmixing; spatial structural ... See more keywords