The study indicated that the ICA combined with SVM was an preferred method for hyperspectral remote sensing image classification,and clump classes was a effective method to optimized the classification result.
结果表明:ICA结合SVM算法准确率高,是高光谱遥感影像分类的优选方法,且类别集群是优化影像分类的有效方法之一。
参考来源 - 基于ICA与SVM算法的高光谱遥感影像分类·2,447,543篇论文数据，部分数据来源于NoteExpress
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