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The comparison of GLCM and granulometry for distinction of different classes of urban area | IEEE Conference Publication | IEEE Xplore

The comparison of GLCM and granulometry for distinction of different classes of urban area


Abstract:

The paper describes the possibilities of using selected methods of texture analysis - Grey Level Co-occurrence Matrix (GLCM) and granulometry analysis - to isolate differ...Show More

Abstract:

The paper describes the possibilities of using selected methods of texture analysis - Grey Level Co-occurrence Matrix (GLCM) and granulometry analysis - to isolate different classes of urban areas in the process of semi-automatic classification. To evaluate the effectiveness of each method the Jeffries-Matusita Distance method was applied. The study was conducted on the SPOT5 HRG (pixel 10m resolution) images. The research shows the high efficiency of the Haralick Correlation (one of GLCM features) method and granulometric analysis, in particular using its multiscaling.
Date of Conference: 06-08 March 2017
Date Added to IEEE Xplore: 11 May 2017
ISBN Information:
Conference Location: Dubai, United Arab Emirates

References

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