Robust Multiscale Spectral–Spatial Regularized Sparse Unmixing for Hyperspectral Imagery
Ke Wang,
Lei Zhong,
Jiajun Zheng
et al.
Abstract:With the aid of endmember spectral libraries, sparse unmixing plays a critical role in interpreting hyperspectral remote sensing data. Integrating spatial clues from hyperspectral data into sparse unmixing frameworks is pivotal for enhancing unmixing capabilities. As such, extracting and harnessing spatial signatures from imagery has emerged as a prevalent tactic to optimize unmixing. In real-world scenarios, hyperspectral images are susceptible to noise, which poses great challenges to the separability of gro… Show more
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