| 遥感影像多分类器集成的关键技术与系统实现 |
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| 引用本文： | 夏俊士,杜培军,张伟.遥感影像多分类器集成的关键技术与系统实现[J].科技导报(北京),2011,29(21):22-26. |
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| 作者姓名： | 夏俊士 杜培军 张伟 |
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| 作者单位： | 中国矿业大学;国土环境与灾害监测国家测绘局重点实验室,江苏徐州 221116 |
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| 基金项目： | 国家自然科学基金项目(40871195); 高等学校博士学科点专项科研基金课题(20070290516); 教育部留学回国人员科研启动基金项目 |
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| 摘 要： | 为克服单一分类器在遥感影像分类精度和效率方面的限制,有必要构建多分类器系统,集不同分类器的优点,获得比单一分类器更高的精度。针对遥感影像的特点和分类的需求,在遥感影像多分类器集成系统需求分析和系统设计的基础上,运用IDL语言在ENVI遥感影像处理平台下实现系统开发。遥感影像多分类器集成系统的主要功能包括遥感影像文件处理、特征选择与提取、分类预处理、分类、多种模式的多分类器集成(固定组合模式、用户自定义模式、向导模式和推荐模式)等。通过分类实例对系统应用进行介绍,表明本系统能够有效地提高遥感影像分类精度。
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| 关 键 词： | 多分类器集成 差异性测度 遥感影像 交互式数据语言 |
Key Techniques and Implementation of Multiple Classifier System for Remote Sensing Images |
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| XIA Junshi,DU Peijun,ZHANG Wei Key Laboratory for L, Environment , Disaster Monitoring of SBSM,China University of Mining , Technology,Xuzhou ,Jiangsu Province,China.Key Techniques and Implementation of Multiple Classifier System for Remote Sensing Images[J].Science & Technology Review,2011,29(21):22-26. |
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| Authors: | XIA Junshi DU Peijun ZHANG Wei Key Laboratory for L Environment Disaster Monitoring of SBSM China University of Mining Technology Xuzhou Jiangsu Province China |
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| Institution: | Key Laboratory for Land Environment and Disaster Monitoring of SBSM; China University of Mining and Technology, Xuzhou 221116, Jiangsu Province, China |
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| Abstract: | In order to overcome the limitation of the accuracy and efficiency of a single classifier,Remote Sensing Multiple Classifier System(RSMCS) is proposed.The system is able to combine the advantages of diffident classifiers and in the meantime acquires higher accuracy than that for a single classifier.According to the characteristics of remote sensing images and the acquirement of classifications,based on the requirement analysis and design for the system,the system is developed by using IDL language on the EN... |
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| Keywords: | multiple classifier ensemble diversity measure remote sensing image interactive date language |
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