Sp2750 Unit 3 Classifications

Satisfactory Essays
In this study, accuracy assessment was based on the calculation of the overall accuracy, user’s accuracy, producer’s accuracy, and the Kappa index. The Kappa index is the proportion of perfectly classified validation points after random agreements are removed and it states the degree to which the confusion matrix results are not gained by chance.
These 16 features included 12 features calculated based on the 6 multispectral bands, which is mean value and standard deviation of these bands. In addition, we chose intensity, texture-variance, texture-mean, and NDVI (Normalized Difference Vegetation Index) for classifications. Finally, training samples were selected for each classification category based on the previously segmented and merged objects
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