The experimental results show that the previous method is better in classification precision and classification model complicacy.
实验结果表明,前者的分类精度和决策树模型的复杂程度要明显优于后者。
参考来源 - 一种基于粗糙集的决策树生成算法SVM classification based on multi-source information shows a better result, compared with SVM classification based on pure spectrum information, and the classification precision and Kappa coefficient can be increased by 23.2099% and 0.1513 respectively.
基于多源信息的SVM分类比单纯光谱的SVM分类的分类精度和Kappa系数分别提升23.2099%和0.1513。
参考来源 - 基于最小噪声变换和支持向量机的遥感影像分类方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The experimental results show this method has high classification precision and recall.
实验结果表明该方法具有较高的精度和召回率。
Ultimately, it carries out field investigation to improve and validate the classification precision.
并开展野外遥感调查以提高和验证分类精度。
In comparison with the maximum likelihood classification by field survey data, the classification precision of this model heightens 16%.
结合实地调查数据与最大似然分类算法进行对比实验，表明该模型比最大似然总体分类精度高16%。
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