建議

本研究主要研究對象為空間訊息的使用方式，嘗試將此空間訊息，直接融入 影像的處理過程中，分別設計出分類器 SSDC 與特徵萃取法 SSFE，本研究實驗 結果更進一步地驗證將直接融入影像之處理過程的可行性，而未來研究方向建議：

(1)以空間訊息的使用方式而言，可利用本研究提出空間訊息的使用方式，將空間 訊息融入其他分類器、特徵萃取法之演算法設計；(2)以 SSDC 而言，可使用不同 的距離計算公式，發展出不同的頻譜與空間距離分類器；或者使用核方法，發展 出核化頻譜與空間距離分類器(kernel SSDC)；亦可嘗試從分類器辨識出錯誤類別 之分布情形進行分析，對分類器做更進一步改善，以提升辨識正確率；(3)以 SSFE 而言，本研究設計空間訊息與頻譜訊息的權值使用相同計算方式，是否能以更有 效利用空間訊息且不同於頻譜訊息的權值計算方式，提出更有效提升分類器辨識 正確率的特徵萃取法，則有待進一步探究。

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