Sub-pixel Classification using FCM and FWCM Algorithms

被引：0
|
作者：
Genitha, C. Heltin [1 ]
Vani, K. [2 ]
机构：
[1] St Josephs Coll Engn, Chennai, Tamil Nadu, India
[2] Anna Univ, Coll Engn, Chennai 600025, Tamil Nadu, India
来源：
2013 FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC) | 2013年
关键词：
Fuzzy c-means; fuzzy weighted c-means; sub-pixel classification; FUZZY; COVER;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, the sub-pixel classification algorithms such as fuzzy c-means and fuzzy weighted c-means algorithms are implemented, which estimates the proportion of class components within a pixel. Experiments are carried out with the QuickBird multispectral image and the classification accuracy is estimated by the confusion matrices. The performance of these sub-pixel classification algorithms are evaluated and compared. The results compared indicate that the accuracy of fuzzy weighted c-means algorithm is more when compared to fuzzy c-means algorithm.
引用
收藏
页码：67 / 71
页数：5
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