Author/Authors :
Golpar-Raboky، E نويسنده Computer Engineering Department, Sharif University of Technology, Tehran,Iran , , Hasanzade، M نويسنده Computer Engineering Department, Sharif University of Technology, Tehran,Iran , , Lotfi، T نويسنده Computer Engineering Department, Sharif University of Technology, Tehran,Iran , , Fattahzadeh، F نويسنده Computer Engineering Department, Sharif University of Technology, Tehran,Iran ,
Abstract :
Satellite image segmentation, as a main step of remotely-sensed image processing, is often
accomplished by clustering when ground truth is not available to provide samples to train
a supervised classifier. To solve this problem, here we propose a new purposes approach
for fuzzy segmentation error reduction fuzzy logic-based algorithms as well as structural
information is utilized in our proposed multi-resolution Fuzzy C-Mean (FCM) clustering
algorithm. The results show that the multi resolution based FCM can improve the result
of the standard FCM for an unsupervised classification approach.
