The regularized feature extraction methods for hyperspectral data classification were studied. The regularization algorithms worked for both parametric and nonparametric within-class scatter matrix. Real data experiment and simulated results show that the nonparametric weighted feature extraction (NWFE) is better method than the nonparametric discriminant analysis (NDA) and discriminant analysis feature extraction (DAFE).
|出版狀態||Published - 24 十一月 2003|
|事件||2003 IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France|
持續時間: 21 七月 2003 → 25 七月 2003
|Conference||2003 IGARSS: Learning From Earth's Shapes and Colours|
|期間||21/07/03 → 25/07/03|