The following publications are possibly variants of this publication:
- Hyperspectral Dimensionality Reduction by Tensor Sparse and Low-Rank Graph-Based Discriminant AnalysisLei Pan, Heng-Chao Li, Yang-Jun Deng, Fan Zhang, Xiang-dong Chen, Qian Du. remotesensing, 9(5):452, 2017. [doi]
- Patch-Based and Tensor-Patch-Based Dimension Reduction Methods for Hyperspectral ImagesBoyu Feng, Jinfei Wang, Kaizhong Zhang. igarss 2019: 3364-3367 [doi]
- Tensor-Based Low-Rank Graph With Multimanifold Regularization for Dimensionality Reduction of Hyperspectral ImagesJinliang An, Xiangrong Zhang, Huiyu Zhou, Licheng Jiao. tgrs, 56(8):4731-4746, 2018. [doi]
- Tensor Based Multiscale Low Rank Decomposition for Hyperspectral Images Dimensionality ReductionJinliang An, Jinhui Lei, Yuzhen Song, Xiangrong Zhang, Jinmei Guo. remotesensing, 11(12):1485, 2019. [doi]
- Robust Patch Tensor-based Multigraph Embedding for Dimensionality Reduction of Hyperspectral ImagesYang-Jun Deng, Yi Zhou, Wei-Ye Wang, Xing-Hui Zhu, Heng-Chao Li. igarss 2022: 1149-1152 [doi]
- Patch Tensor-Based Multigraph Embedding Framework for Dimensionality Reduction of Hyperspectral ImagesYang-Jun Deng, Heng-Chao Li, Xin Song, Yong-Jian Sun, Xiangrong Zhang, Qian Du. tgrs, 58(3):1630-1643, 2020. [doi]
- Weighted Sparse Graph Based Dimensionality Reduction for Hyperspectral ImagesWei He, Hongyan Zhang, Liangpei Zhang, Wilfried Philips, Wenzhi Liao. lgrs, 13(5):686-690, 2016. [doi]
- PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral ImagesBo Du, Mengfei Zhang, Lefei Zhang, Ruimin Hu, Dacheng Tao. tmm, 19(1):67-79, 2017. [doi]
- Hyperspectral Image Dimension Reduction Using Weight Modified Tensor-Patch-Based MethodsBoyu Feng, Jinfei Wang. staeors, 13:3367-3380, 2020. [doi]