Sub-pixel classification using FCM and FWCM algorithms

Author

Genitha, C. Heltin ; Vani, K.

Author_Institution

St. Joseph´s Coll. of Eng., Chennai, India

fYear

2013

Firstpage

67

Lastpage

71

Abstract

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.

Keywords

fuzzy set theory; geophysical image processing; image classification; matrix algebra; FCM algorithm; FWCM algorithm; QuickBird multispectral image; class components; classification accuracy; confusion matrices; fuzzy c-means algorithm; fuzzy weighted c-means algorithm; sub-pixel classification algorithm; Accuracy; Algorithm design and analysis; Buildings; Classification algorithms; Clustering algorithms; Image resolution; Soil; Fuzzy c-means; fuzzy weighted c-means; sub-pixel classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing (ICoAC), 2013 Fifth International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4799-3447-8

Type

conf

DOI

10.1109/ICoAC.2013.6921929

Filename

6921929