Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE Transactions on Geoscience and Remote Sensing(2016)
摘要
Spectral unmixing is an important technique for remotely sensed hyperspectral data exploitation. It amounts to identifying a set of pure spectral signatures, which are called endmembers, and their corresponding fractional, draftrulesabun-dances in each pixel of the hyperspectral image. Over the last years, different algorithms have been developed for each of the three main steps of the spectral un...
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关键词
Hyperspectral imaging,Estimation,Collaboration,Robustness,Geography,Approximation algorithms
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