THE FUATURE SPACE DIMENSIONALITY REDUCTION OF PLANT OBJECTS BASED ON FACTOR ANALYSIS
Науковий журнал «Радіоелектроніка, інформатика, управління»
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THE FUATURE SPACE DIMENSIONALITY REDUCTION OF PLANT OBJECTS BASED ON FACTOR ANALYSIS |
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Shama, E. О.; Zaporizhzhya National Technical University, Ukraine |
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factor analysis, feature space, spectral coefficients of brightness, feature, classifier. |
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A possibility of reducing the number of informative features for multispectral phytogenous data by means of the factor analysis method<br />is shown in the article. For investigation there were used real reflection coefficients of maize, bristlegrass and ambrosia. Prior to usage of the<br />factor analysis it was performed the procedure to verify an initial set of data for conformity with distribution by the normal distribution law.<br />The factor analysis was conducted separately for three plants: maize, bristlegrass and ambrosia. Sizes of a new space were set for each plant,<br />and also there was given quality estimation of correlation between elements of a new and initial space of the data. Transfer to new features was executed provided that a level of informativeness was maintained at a level of 80% minimum in comparison with the initial set of data. For<br />each plant species the procedure of verification of the feature number choice correctness was performed by calculating of generalities. The<br />obtained results can be used to construct plant objects classifier. |
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Zaporizhzhya National Technical University 2015-06-23 10:55:57 |
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application/pdf http://ric.zntu.edu.ua/article/view/45247 |
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Radio Electronics, Computer Science, Control; No 2 (2015): Radio Electronics, Computer Science, Control |
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uk |
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Copyright (c) 2015 E. О. Shama |
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