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This multi classification method depends on basic voting principle.
Fig. 7 The result of classification by using the majority voting principle in the superpixel blocks.
Fig. 2 The diagram of PolSAR image classification based on SVM classification and the majority voting principle.
At last, the majority voting principle is used to classify the superpixel blocks, which is the second classification and final classification of PolSAR data.
Thirdly, the combination of superpixel classification and the use of the majority of voting principle can effectively inhibit the coherent noise on the classification.
For the classification method, classifying superpixel blocks with majority voting principle is simple and effective, and it can reduce redundant information of high-resolution image and noise influence of SAR image.
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