Title :
An Improved Remote Sensing Image Classification Based on K-Means Using HSV Color Feature
Author :
Shulei Wu ; Huandong Chen ; Zhizhong Zhao ; Haixia Long ; Chunhui Song
Author_Institution :
Coll. of Inf. Sci. & Technol., Hainan Normal Univ., Haikou, China
Abstract :
An improved classification method based on KMeans using HSV color feature is introduced in this paper. It is implemented by extracting three color features (hue, saturation, value) for K-Means clustering. Compared with the traditional K-Means clustering, the experimental results turn out that our proposed method is better than K-Means in classification accuracy and performance.
Keywords :
data mining; feature extraction; image classification; remote sensing; HSV color feature; feature extraction; k-means clustering; remote sensing image classification; Accuracy; Classification algorithms; Educational institutions; Feature extraction; Image classification; Image color analysis; Remote sensing; Color Feature; HSV; Image Classification;
Conference_Titel :
Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4799-7433-7
DOI :
10.1109/CIS.2014.90
