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- W2351954485 abstract "Among the statistical classification methods of Remote-Sensing images,the distribution of pixel feature sets was always viewed as a mixture of the distributions with different density functions,and the Expectation-Maximization algorithm was one of the most frequently used methods to estimate the parameters of the mixture models.But with appropriate initial parameters,it is very sensitive to classification noises,which would probably slow down the running speed and reduce the accuracy of its results.On this point,a fuzzy strategy of this algorithm was proposed in order to depress the negative influences.The classification experiment on the Remote-Sensing image shows the better characters of our algorithm." @default.
- W2351954485 created "2016-06-24" @default.
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- W2351954485 date "2012-01-01" @default.
- W2351954485 modified "2023-09-23" @default.
- W2351954485 title "A Fuzzy Strategy of the Expectation-Maximization Algorithm and Its Application to Remote-Sensing Image Classification" @default.
- W2351954485 hasPublicationYear "2012" @default.
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