New modified fuzzy C-means algorithm for synthetic aperture radar (SAR) image segmentation

Punya Thitimajshima

doi:10.1117/12.405844

2 November 2000 New modified fuzzy C-means algorithm for synthetic aperture radar (SAR) image segmentation

Punya Thitimajshima

Proceedings Volume 4113, Algorithms and Systems for Optical Information Processing IV; (2000) https://doi.org/10.1117/12.405844
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Punya Thitimajshima "New modified fuzzy C-means algorithm for synthetic aperture radar (SAR) image segmentation", Proc. SPIE 4113, Algorithms and Systems for Optical Information Processing IV, (2 November 2000); https://doi.org/10.1117/12.405844

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available