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Proceedings Paper

New modified fuzzy C-means algorithm for synthetic aperture radar (SAR) image segmentation
Author(s): Punya Thitimajshima
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Paper Abstract

Generally fuzzy c-means algorithm is one proved that very well suited for remote sensing image segmentation, exhibited sensitivity to the initial guess with regard to both speed and stability. But it also showed sensitivity to noise. This paper proposes a fully automatic technique to obtain image clusters. A modified fuzzy c-means classification algorithm is used to provide a fuzzy partition. This method is less sensitive to noise as it filters the image while clustering it, which is based on the consideration of the neighbors as factors the attract pixels into their cluster. The experimental results on JERS-1/SAR image demonstrate its potential usefulness.

Paper Details

Date Published: 2 November 2000
PDF: 5 pages
Proc. SPIE 4113, Algorithms and Systems for Optical Information Processing IV, (2 November 2000); doi: 10.1117/12.405844
Show Author Affiliations
Punya Thitimajshima, King Mongkut's Institute of Technology Ladkrabang (Thailand)

Published in SPIE Proceedings Vol. 4113:
Algorithms and Systems for Optical Information Processing IV
Bahram Javidi; Demetri Psaltis, Editor(s)

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