...（Likelihood Classification） 神经网络 （Neural Net Classification） 支持向量机 （Support Vector Machine Classification） 假设每一个波段的每一类统计都呈正态分布，计算给 定像元属于某一训练样本的似然度，像元最终被归并 到似然度最大的一类当中。
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This article presents a new method of plant classification of iris based on the support vector machine classification principle.
提出了基于支持向量机的分类原理对鸢尾属植物进行分类的方法。
Assessment method using the distance-sensitive feature selection on the feature set, and then enters the sensitive features of support vector machine classification.
然后采用距离评估方法对特征集挑选敏感特征，将敏感特征输入支持向量机进行分类。
Particle swarm optimization- support vector machine classification has slightly better result than self-organizing neural networks, but the complexity of network was increased.
粒子群优化支持向量机分类效果稍好，但是增加了网络的复杂度；
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