第五章 實驗結果
第二節 研究建議
從研究結論中可知，為了突破萃取維度數的限制，故未來的研究方向可以考 慮將空間資訊結合於其他的特徵萃取技術中，如無參數的加權特徵萃取法 (Nonparametric Weighted Feature Extraction, NWFE)(Kuo & Landgrebe, 2004)，用以 彌補其不足之處。而在本研究中，為了單純的探討特徵萃取演算法的改良對分類 效能的影響，所以皆採用單一分類器來評估其效能，未來可以考慮以多重辨識器 來結合本研究的架構，或者不僅將空間資訊結合於特徵萃取中，也可以同時將空 間資訊結合於分類器中，如此整個分類的流程將更趨於完整。最後，可將kernel 的概念應用於特徵萃取法中，以獲得最佳的分類效能。
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