The code and data herein distributed reproduces the results published in the paper
Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, and Jocelyn Chanussot, "Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing", TGRS, 2021. DOI: 10.1109/TGRS.2021.3065990
URL: https://sites.google.com/view/linazhuang/home
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demo_unmixing_RealDatasets.m <-- This demo illustrates the LR_NTF hyperspectral nonlinear unmixing algorithm operating in real hyprespectral images.
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LR_NTF.m <-- hyperspectral nonlinear unmixing method on real hyperspectral data based on Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization(LR_NTF)
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Authors: Zhicheng Wang (wangzc@radi.ac.cn) & Lina Zhuang (linazhuang@qq.com)