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. An automatic kernel parameter selection method for kernel nonparametric weighted feature extraction with the RBF kernel for hyperspectral image classification. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, July 26-31, 2015. pages 1706-1709, IEEE, 2015. [doi]

@inproceedings{HsiehLKT15,
  title = {An automatic kernel parameter selection method for kernel nonparametric weighted feature extraction with the RBF kernel for hyperspectral image classification},
  author = {Pei-Jyun Hsieh and Cheng-Hsuan Li and Bor-Chen Kuo and Pei-Ling Tsai},
  year = {2015},
  doi = {10.1109/IGARSS.2015.7326116},
  url = {http://dx.doi.org/10.1109/IGARSS.2015.7326116},
  researchr = {https://researchr.org/publication/HsiehLKT15},
  cites = {0},
  citedby = {0},
  pages = {1706-1709},
  booktitle = {2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015, Milan, Italy, July 26-31, 2015},
  publisher = {IEEE},
  isbn = {978-1-4799-7929-5},
}