This paper describes the problem in the BP neural network approach and the approach of BP neural network based on vector information to the classification of remote sensing images.

由于传统遥感影像分类方法存在不足，因而采用神经网络算法进行遥感影像分类研究。

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The method of combining multiple classifiers developed in this paper has the same performance in classification of remote sensing images which have different landscape characteristics.

组合方法在不同景观特征地区的遥感分类中具有相同的性能特征。

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Therefore, it is theoretically and practically significant to study the method of combining multiple classifiers and explore its application in automatic classification of remote sensing images.

因此，进行多分类器组合研究，探讨其在遥感影像自动分类中的应用，具有重要的理论与实践意义。

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