A kernel-based feature extraction method for hyperspectral image classification. - Pei-Jyun Hsieh; Cheng-Hsuan Li; Kai-Ching Chen; Bor-Chen Kuo (IGARSS, 2014)

A nonlinear feature selection method based on kernel separability measure for hyperspectral image classification. - Pei-Jyun Hsieh; Cheng-Hsuan Li; Bor-Chen Kuo (IGARSS, 2015)

An automatic kernel parameter selection method for kernel nonparametric weighted feature extraction with the RBF kernel for hyperspectral image classification. - Pei-Jyun Hsieh; Cheng-Hsuan Li; Bor-Chen Kuo; Pei-Ling Tsai (IGARSS, 2015)

Multiple SVMS based on random subspaces from kernel feature importance for hyperspectral image classification. - Cheng-Hsuan Li; Pei-Jyun Hsieh; Bor-Chen Kuo (IGARSS, 2017)