决策树分类法及其在遥感图像处理中的应用

Decision tree classification and its application in processing of remote sensing images

首先阐述了决策树分类器的结构与理论基础,并就决策树算法的发展趋势进行了归纳总结。然后结合遥感图像分类的特点,探讨了决策树分类法的实现方法和关键问题。在此基础上,以徐州市TM影像为数据进行了分类试验。试验说明了决策树分类法在遥感图像处理中的具体实现过程,并且试验结果表明该方法在依据感兴趣区类别进行图像分类时效果较好。

First, the paper discusses the structure and the theory of decision tree, and summarizes the developmental trend of decision tree algorithms.Then, the key process of the classification approach of the remote sensing images based on decision tree is introduced.In the end, the experiment, taking TM image of Xuzhou as a study data, is given to show the process of the classification.