The following publications are possibly variants of this publication:
- Marginalized Graph Self-Representation for Unsupervised Hyperspectral Band SelectionYongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou. tgrs, 60:1-12, 2022. [doi]
- Robust Dual Graph Self-Representation for Unsupervised Hyperspectral Band SelectionYongshan Zhang, Xinxin Wang, Xinwei Jiang, Yicong Zhou. tgrs, 60:1-13, 2022. [doi]
- Hyperspectral Band Selection for Multispectral Image Classification with Convolutional NetworksGiorgio Morales, John Sheppard 0001, Riley Logan, Joseph A. Shaw. ijcnn 2021: 1-8 [doi]
- Band Selection of Hyperspectral Images Using Multiobjective Optimization-Based Sparse Self-RepresentationPeng Hu, Xiaobo Liu 0001, Yaoming Cai, Zhihua Cai. lgrs, 16(3):452-456, 2019. [doi]
- SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band SelectionMete Ahishali, Serkan Kiranyaz, Iftikhar Ahmad 0001, Moncef Gabbouj. icip 2022: 2296-2300 [doi]
- Hyper-Graph Regularized Kernel Subspace Clustering for Band Selection of Hyperspectral ImageMeng Zeng, Bin Ning, Chunyang Hu, Qiong Gu, Yaoming Cai, Shuijia Li. access, 8:135920-135932, 2020. [doi]
- Semisupervised Band Selection With Graph Optimization for Hyperspectral Image ClassificationFang He, Feiping Nie 0001, Rong Wang 0001, Weimin Jia, Fenggan Zhang, Xuelong Li. tgrs, 59(12):10298-10311, 2021. [doi]