The following publications are possibly variants of this publication:
- Double reweighted sparse regression for hyperspectral unmixingRui Wang, Heng-Chao Li, Wenzhi Liao, Aleksandra Pizurica. igarss 2016: 6986-6989 [doi]
- Reweighted Sparse Regression for Hyperspectral UnmixingCheng Yong Zheng, Hong Li, Qiong Wang, C. L. Philip Chen. tgrs, 54(1):479-488, 2016. [doi]
- Hyperspectral Unmixing Using Double Reweighted Sparse Regression and Total VariationRui Wang, Heng-Chao Li, Aleksandra Pizurica, Jun Li, Antonio Plaza, William J. Emery. lgrs, 14(7):1146-1150, 2017. [doi]
- Fast Hyperspectral Unmixing via Reweighted Sparse RegressionHongwei Han, Ke Guo, Maozhi Wang, Tingbin Zhang, Shuang Zhang. ieicet, 102-D(9):1819-1832, 2019. [doi]
- Robust Double Spatial Regularization Sparse Hyperspectral UnmixingFan Li, Shaoquan Zhang, Chengzhi Deng, Bingkun Liang, Jingjing Cao, Shengqian Wang. staeors, 14:12569-12582, 2021. [doi]
- Spatial-Spectral Reweighted Collaborative Sparse Regression for Hyperspectral UnmixingYan Li, Chengzhi Deng, Shengqian Wang. jni, 2(4):351-359, 2017. [doi]
- Double Regression-Based Sparse Unmixing for Hyperspectral ImagesShuaiyang Zhang, Wenshen Hua, Gang Li, Jie Liu, Fuyu Huang, Qianghui Wang. js, 2021, 2021. [doi]
- Joint-Sparse-Blocks Regression for Total Variation Regularized Hyperspectral UnmixingJie Huang 0005, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng. access, 7:138779-138791, 2019. [doi]
- Graph Laplacian Regularized Spectral-Spatial-Sparse Unmixing for Hyperspectral ImageryZhi Li, Ruyi Feng, Yichang Shi, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng. igarss 2022: 1608-1611 [doi]