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。
At the end, it is demonstrated that evidential reasoning has extensive applications in the classification of remote sensing images through the fusion analysis of ERS SAR and TM image.
最后通过利用ERS SAR数据和TM影像进行融合分析，证明该方法在遥感图像自动分类中有很好的应用前景。
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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