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Proceedings Paper

SMNF based spatial fuzzy clustering of remote sensing imagery
Author(s): Lu Zhang; Yan Wang; Mingsheng Liao; Lijun Lu
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Paper Abstract

A novel unsupervised classification scheme called spatial fuzzy C-means clustering is proposed in this article. Based on conventional fuzzy C-means algorithm, our scheme takes spatial homogeneity into consideration by introducing spatial membership and applying SMNF, thus improved robustness against noises or outliers. Preliminary experimental results are also shown to demonstrate effectiveness of our method.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539068
Show Author Affiliations
Lu Zhang, Wuhan Univ. (China)
Yan Wang, Wuhan Univ. (China)
Mingsheng Liao, Wuhan Univ. (China)
Lijun Lu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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