Title of article
Multi Resolution Fuzzy Segmentation of Satellite Images
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 ,
Issue Information
دوفصلنامه با شماره پیاپی 0 سال 2009
Pages
9
From page
77
To page
85
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.
Journal title
International Journal of Industrial Mathematics(IJIM)
Serial Year
2009
Journal title
International Journal of Industrial Mathematics(IJIM)
Record number
655318
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