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Information Journal Paper

Title

SPECTRAL-SPATIAL CLASSIFICATION OF MULTI-SPECTRAL IMAGES BASED ON IMPROVED EM CLUSTERING TECHNIQUE

Pages

  45-53

Abstract

 By increasing SPATIAL resolution of remote sensing images, it is possible to apply SPATIAL information in the classification. This leads to improve the accuracy of multi-spectral images classification. One of the methods for incorporation SPATIAL information is un-supervised SEGMENTATION which can be implemented through Expectation Maximization(EM) clustering and connected-component labeling. But this clustering method which always is trapped in local optimum. Therefore, a new algorithm is proposed that can solve the mentioned problem and has better performance in multi-spectral images classification. In order to form a SPATIAL-spectral classifier, first a PIXEL-wised classifier is applied. Then, after using the LPP approach for dimension reduction, the results of PIXEL -wised classifier and SEGMENTATION map, obtained from proposed method, are combined via majority voting. The results of simulation indicate that the presented spectral-spatial classifier leads to so considerable improvement that the accuracy and validity of classification have reached to 88.68% and 80.8%, respectively.

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    APA: Copy

    POORAHANGARYAN, FERESHTEH, & GHASEMIAN, HASSAN. (2015). SPECTRAL-SPATIAL CLASSIFICATION OF MULTI-SPECTRAL IMAGES BASED ON IMPROVED EM CLUSTERING TECHNIQUE. ELECTRONIC INDUSTRIES, 6(3), 45-53. SID. https://sid.ir/paper/229660/en

    Vancouver: Copy

    POORAHANGARYAN FERESHTEH, GHASEMIAN HASSAN. SPECTRAL-SPATIAL CLASSIFICATION OF MULTI-SPECTRAL IMAGES BASED ON IMPROVED EM CLUSTERING TECHNIQUE. ELECTRONIC INDUSTRIES[Internet]. 2015;6(3):45-53. Available from: https://sid.ir/paper/229660/en

    IEEE: Copy

    FERESHTEH POORAHANGARYAN, and HASSAN GHASEMIAN, “SPECTRAL-SPATIAL CLASSIFICATION OF MULTI-SPECTRAL IMAGES BASED ON IMPROVED EM CLUSTERING TECHNIQUE,” ELECTRONIC INDUSTRIES, vol. 6, no. 3, pp. 45–53, 2015, [Online]. Available: https://sid.ir/paper/229660/en

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