Browsing by Author "Huang, Hsiao-Yun"

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APPLYING OPTIMAL ALGORITHM TO DATA-DEPENDENT KERNEL FOR HYPERSPECTRAL IMAGE CLASSIFICATION
(2010)
Chen, I-Ling
;
Li, Cheng-Hsuan
;
Kuo, Bor-Chen
;
Huang, Hsiao-Yun
;
電控工程研究所
In the kernel methods, it is very important to choose a proper kernel function to avoid overlapping data. Based this fact, in this paper we mainly utilize a unified kernel optimization framework on the hyperspectral image classification to augment the margin between different classes, and under the kernel optimization framework, to employ the Fisher discriminant criteria formulated in a pairwise manner as the objective functions to optimize the kernel function in Kernel-based nonparametric weighted feature extraction. The experimental results display the superiority of the optimizing kernel function over the RBF kernel function with 5-fold cross-validation method, especially, in the small sample size problem.