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svm+sift
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It is a supervised learning algorithm to study the segmentation algorithm of target recognition in remote sensing image. Firstly, the principle, implementation steps and advantages of scale invariant feature transform, dictionary model and support vector machine are introduced in detail, and the important role of kernel function in SVM nonlinear classification is deeply studied. Then, the object recognition experiment is carried out by using support vector machine segmentation algorithm based on SIFT.
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