• DocumentCode
    234809
  • 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
  • fYear
    2014
  • fDate
    15-16 Nov. 2014
  • Firstpage
    201
  • Lastpage
    204
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2014 Tenth International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4799-7433-7
  • Type

    conf

  • DOI
    10.1109/CIS.2014.90
  • Filename
    7016883
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=234809