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Robust Multiscale Spectral–Spatial Regularized Sparse Unmixing for Hyperspectral Imagery

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...

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Autors principals: Ke Wang, Lei Zhong, Jiajun Zheng, Shaoquan Zhang, Fan Li, Chengzhi Deng, Jingjing Cao, Dingli Su
Format: Artigo
Idioma:Inglês
Publicat: IEEE 2024-01-01
Col·lecció:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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Accés en línia:https://ieeexplore.ieee.org/document/10329951/
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