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Proceedings Paper

Fuzzy c-means clustering algorithm for classification of sea ice and land cover from SAR images
Author(s): Aisheng Li; Patrik B.G. Dammert; Gary Smith; Jan Askne
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Paper 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.

Paper Details

Date Published: 22 December 1997
PDF: 12 pages
Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); doi: 10.1117/12.295637
Show Author Affiliations
Aisheng Li, Chalmers Univ. of Technology (Sweden)
Patrik B.G. Dammert, Chalmers Univ. of Technology (Sweden)
Gary Smith, Chalmers Univ. of Technology (Sweden)
Jan Askne, Chalmers Univ. of Technology (Sweden)


Published in SPIE Proceedings Vol. 3217:
Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing
Jacky Desachy; Shahram Tajbakhsh, Editor(s)

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