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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發表在:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Ke Wang, Lei Zhong, Jiajun Zheng, Shaoquan Zhang, Fan Li, Chengzhi Deng, Jingjing Cao, Dingli Su
格式:	Article
語言:	英语
出版:	IEEE 2024-01-01
主題:	Abundance estimation error multiscale sparse hyperspectral unmixing spatial information spatial regularization
在線閱讀:	https://ieeexplore.ieee.org/document/10329951/