%0 Journal Article %A WANG Zhen %A LI Chao-feng %A WU Xiao-jun %T Segmentation of remote sensing image using GHSOM %D 2010 %R 10.3778/j.issn.1002-8331.2010.16.055 %J Computer Engineering and Applications %P 188-190 %V 46 %N 16 %X A Growing Hierarchical Self-Organizing Map(GHSOM) based remote sensing image classification method is presented.Its theory and algorithm are introduced firstly,and then it is successfully applied to remote sensing image classification.Experimental results show that GHSOM solves classification confusion problem of SOM,and greatly improves classification accuracy and efficiency for remote sensing data.GHSOM method is a new efficient unsupervised remote sensing image classification method. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.16.055