sanwen211314 / hsi_nonlinear_unmixing_lr-ntf

A hyperspectral nonlinear unmixing method LR-NTF

HSI_nonlinear_unmixing_LR-NTF

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

% Notes:

1. demo_unmixing_RealDatasets.m <-- This demo illustrates the LR_NTF hyperspectral nonlinear unmixing algorithm operating in real hyprespectral images.

2. 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)

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Authors: Zhicheng Wang ([email protected]) & Lina Zhuang ([email protected])