A Hybrid mutli-hierarchical classification based on an improved optimal segmentation parameter for high resolution remote sensing image

In the high resolution remote sensing image,different objects have the same spectrum and the optimal segmentation parameter is difficult to be determined,a hybrid classification method isproposed.Firstly,using an improved objective function to calculate the optimal segmentation parameterof each category,in order to realize the multi-resolution segmentation in high resolution image;Secondly,multi-hierarchy classification is builtin each optimal segmentation scale;Finally,in the multi-hierarchy structure,the classification based on knowledge rules and the SVM classifier are combined for classification.Results show that the overall accuracy and Kappa coefficientare superior to other methods.