提出了一种基于多特征的遥感分类方法。
In this paper, a new method, namely the multi feature based method, was presented to classify remotely sensed imagery.
在地形复杂地区，采用传统的遥感分类方法进行土地利用遥感分类很难获得理想的精度。
The land use classification accuracy is usually unsatisfactory in the complicated terrain area when the traditional methods are used.
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。
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.
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