EM Algorithm Based on Fuzzification and its Application

Ting Ting Tong; Zhen Hua Wu

doi:10.4028/www.scientific.net/AMR.532-533.1445

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 532-533EM Algorithm Based on Fuzzification and its...

EM Algorithm Based on Fuzzification and its Application

Abstract:

EM algorithm is a common method to solve mixed model parameters in statistical classification of remote sensing image. The EM algorithm based on fuzzification is presented in this paper to use a fuzzy set to represent each training sample. Via the weighted degree of membership, different samples will be of different effect during iteration to decrease the impact of noise on parameter learning and to increase the convergence rate of algorithm. The function and accuracy of classification of image data can be completed preferably.

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Periodical:

Advanced Materials Research (Volumes 532-533)

Pages:

1445-1449

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.532-533.1445

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Online since:

June 2012

Authors:

Ting Ting Tong, Zhen Hua Wu

Keywords:

Application, EM Algorithm, Fuzzification

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