Classification Methods of Remote Sensing Image Based on Decision Tree Technologies

文献类型： 外文期刊

第一作者： Jiang, Lihua

作者： Jiang, Lihua;Wang, Wensheng;Yang, Xiaorong;Xie, Nengfu;Jiang, Lihua;Wang, Wensheng;Yang, Xiaorong;Xie, Nengfu;Cheng, Youping

作者机构：

关键词： Decision tree;Classification;Remote sensing image

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IV, PT 1

ISSN： 1868-4238

年卷期： 2011 年 344 卷

页码：

收录情况： SCI

摘要： Decision tree classification algorithms have significant potential for remote sensing data classification. This paper advances to adopt decision tree technologies to classify remote sensing images. First, this paper discussed the algorithms structure and the algorithms theory of decision tree. Second, C4.5 basic theory and boosting technology are explained. The decision tree technologies have several advantages for remote sensing application by virtue of their relatively simple, explicit and intuitive classification structure.

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