Fuzzy c-means clustering algorithm for classification of sea ice  and land cover from SAR images

Aisheng Li; Patrik B.G. Dammert; Gary Smith; Jan Askne

doi:10.1117/12.295637

22 December 1997 Fuzzy c-means clustering algorithm for classification of sea ice and land cover from SAR images

Aisheng Li, Patrik B.G. Dammert, Gary Smith, Jan Askne

Proceedings Volume 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing; (1997) https://doi.org/10.1117/12.295637
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

Abstract

A two-step Fuzzy C-Means (FCM) clustering algorithm was presented in this paper. In the first step a region-growing algorithm was utilized to make the data st over split, and the data set was reconstructed by using the means values of the segments. In the second step a traditional FCM clustering algorithm was realized to segment the reconstructed data set. In order to get the physical classes, a simple data training or the use of prior knowledge was required. The mean values of each class were obtained from the data training. Then the physical classes were identified through a simple distance measure. In order to improve the classification accuracy, a post-processing was developed by using a majority filter based on the sizes of objects and the context information. The algorithm was applied to two different applications, classification of sea ice and land cover from ERS-1/2 SAR images. In the sea ice case the SAR PRI images and the first order statistical parameter were used. The algorithm was also compared with a statistical classification method in this case. In the land cover case the SAR SLC images, the first order statistical parameter and the interferometric coherence information was used.Especially a set of proper logical calculation rules were used to determine the physical classes. The experiments have shown that the presented algorithm had a better performance and was more automatic in the case of multi- channel classification from SAR images than the statistical model.

Citation Download Citation

Aisheng Li, Patrik B.G. Dammert, Gary Smith, and Jan Askne "Fuzzy c-means clustering algorithm for classification of sea ice and land cover from SAR images", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295637

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