There are usually few training samples in the tasks of content-based remote sensing image retrieval, which will lead to over-learning problem while using this small data set for training.
提出一种基于多分类器协同训练的遥感图像检索方法,该方法在不同特征集上分别建立分类器,利用不同分类器的协同性自动标记未知样本,从而有效解决了小样本问题。
There are usually few training samples in the tasks of content-based remote sensing image retrieval, which will lead to over-learning problem while using this small data set for training.
提出一种基于多分类器协同训练的遥感图像检索方法,该方法在不同特征集上分别建立分类器,利用不同分类器的协同性自动标记未知样本,从而有效解决了小样本问题。
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