Support Vector Machines(SVM) is a potential hyperspectral remote sensing classification method because it is advantageous to deal with problems with high dimensions, small samples and uncertainty.
支持向量机因其适用高维特征、小样本与不确定性问题的优越性，是一种极具潜力的高光谱遥感分类方法。
This indicates that BP Neural Network method is an effective wetland classification method, and it can improve the classification accuracy of Remote Sensing images.
结果表明：BP神经网络分类法是一种有效的湿地分类技术，能够提高分类精度。
Remote sensing classification is the main method of the analysis of remote sensing data and very important research content in remote sensing image procession.
遥感分类是主要的遥感数据分析方法，是遥感图像处理中的一个非常重要研究内容。
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