Paper
25 September 2003 SMNF based spatial fuzzy clustering of remote sensing imagery
Lu Zhang, Yan Wang, Mingsheng Liao, Lijun Lu
Author Affiliations +
Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539068
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lu Zhang, Yan Wang, Mingsheng Liao, and Lijun Lu "SMNF based spatial fuzzy clustering of remote sensing imagery", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539068
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Cited by 2 scholarly publications.
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KEYWORDS
Fuzzy logic

Expectation maximization algorithms

Signal to noise ratio

Remote sensing

Interference (communication)

Algorithms

Image quality

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