| 基于光谱相关性的SVM高光谱遥感影像分类 |
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| 引用本文： | 沈照庆,王建宾,陶建斌.基于光谱相关性的SVM高光谱遥感影像分类[J].地理空间信息,2009,7(4):88-91. |
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| 作者姓名： | 沈照庆 王建宾 陶建斌 |
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| 作者单位： | 1. 武汉大学遥感信息工程学院,湖北,武汉,430079
2. 山东科技职业学院,山东,潍坊,261053 |
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| 基金项目： | 国家973计划资助项目(2006CB701303) |
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| 摘 要： | 根据高光谱遥感影像数据特点，首先利用光谱相关性进行特征选择，然后引进SVM进行高光谱遥感影像分析解译，最后利用AVIRIS影像进行试验，结果显示分类精度和时间比常规方法都有很大改善。
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| 关 键 词： | SVM 高光谱 光谱相关 遥感影像 |
Classification of Hyperspectral RS Image Based on SVM and Spectral Relevance |
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| SHEN Zhaoqing,WANG Jianbin,TAO Jianbin.Classification of Hyperspectral RS Image Based on SVM and Spectral Relevance[J].Geospatial Information,2009,7(4):88-91. |
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| Authors: | SHEN Zhaoqing WANG Jianbin TAO Jianbin |
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| Institution: | 1. School of Remote Sensing and Information Engineering;Wuhan University;Wuhan 430079;China;2. Shandong Vocational College of Science and Technology;Weifang 261053;China |
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| Abstract: | In this paper,according to hyperspectral RS image data characteristics,it is carried on to select feature by spectral relevance,and then the SVM is used for analysis and interpretation of hyperspectral RS image,finally,test is done on the AVIRIS image and the results show that classification accuracy is better than conventional methods. |
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| Keywords: | SVM hyperspectral spectral relevance RS image |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
