| 基于混合多分类器结合算法的遥感分类? |
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| 引用本文： | 杨海波,王宗敏,张涛.基于混合多分类器结合算法的遥感分类?[J].计算机工程,2010,36(11):173-175. |
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| 作者姓名： | 杨海波 王宗敏 张涛 |
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| 作者单位： | 1. 郑州大学河南省信息网络重点开放实验室,郑州450001;郑州大学水利与环境学院,郑州450001
2. 郑州大学河南省信息网络重点开放实验室,郑州,450001 |
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| 基金项目： | 河南省自然科学基金资助项目(0611051900) |
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| 摘 要： | 为改善遥感影像分类精度，提出混合多分类器结合算法。考虑抽象级和测量级2个层次的特点，综合最优子分类器、Bagging算法和最大置信度区间法。应用到不同分辨率的遥感影像分类进行验证，结果表明，与选用的子分类器相比，该算法的总体精度和单个类别分类精度有明显提高，是有效的高中精度遥感影像分类算法。
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| 关 键 词： | 遥感分类 混合多分类器结合 抽象级 测量级 |
Remote Sensing Classification Based on Hybrid Multi-classifier Combination Algorithm |
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| YANG Hai-bo,WANG Zong-min,ZHANG Tao.Remote Sensing Classification Based on Hybrid Multi-classifier Combination Algorithm[J].Computer Engineering,2010,36(11):173-175. |
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| Authors: | YANG Hai-bo WANG Zong-min ZHANG Tao |
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| Affiliation: | (1. Henan Provincial Key Lab on Information Network, Zhengzhou University, Zhengzhou 450001; 2. School of Water Conservancy and Environment, Zhengzhou University, Zhengzhou 450001) |
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| Abstract: | To improve the precision of remote sensing image classification, this paper proposes hybrid multi-classifier combination method. Taking the characteristic of abstract level and measurement level into consideration, the optimal sub-classifier, bagging algorithm and the most large confidence algorithm are combined. This method used in diffierent image classification shows a better enhancement, and results indicate that the hybrid multi-classifier combination algorithm is an effective algorithm for medium-high precision remote sensing image classification. |
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| Keywords: | remote sensing classification hybrid multi-classifier combination abstract level measurement level |
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