標題: AMOEBA影像分類技術之研究
A Study on the AMOEBA Image Classification Scheme
作者: 葉志聖
Jyh-Shenq Yeh
史天元
Tian-Yuan Shih
土木工程學系
關鍵字: ...
公開日期: 1994
摘要: 本研究探討一種結合光譜資訊和空間資訊的分類法,稱為AMOEBA,並與 ISOCLASS、K-means等常用的群聚法做比較,以期瞭解加入空間資訊後, 影像分類的情形。另外也探討AMOEBA、ISOCLASS、K-means等群聚法,所 需的參數與參數設定的難易程度。 This study investigates a clustering method which incooperates both spectral and spatial information, named AMOEBA. The cation results are compared with ISODATA and K-means. The setting issues of the parameters for AMOEBA, ISODATA and K- means are also addressed.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT830015043
http://hdl.handle.net/11536/58736
顯示於類別:畢業論文