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基于集群内核的半监督遥感图像分类

于 2023-05-05 发布 文件大小:97.88 kB
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代码说明:

一个半监督支持向量机的遥感图像分类。该方法利用了丰富的未标记的样本通过集群的内核正则化培训本地内核表示。该方法直接从图像中学习合适的内核,从而避免使用预定义的内核结构假设先验的信号关系。图像分类的例子中,很少有标记的样本是很好的结果。该方法与未标记样本的数量几乎成线性关系,并提供样本预测。

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