| 基于互信息波段选择和经验模态分解的高精度高光谱数据分类 |
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| 引用本文： | 沈毅,张敏,张淼. 基于互信息波段选择和经验模态分解的高精度高光谱数据分类[J]. 激光与光电子学进展, 2011, 0(9): 59-66 |
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| 作者姓名： | 沈毅 张敏 张淼 |
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| 作者单位： | 哈尔滨工业大学控制科学与工程系; |
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| 基金项目： | 国家自然科学基金(60975009)资助课题 |
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| 摘 要： | 在遥感数据处理研究中,高维高光谱数据的冗余信息和噪声严重影响高光谱数据的分类精度,针对此问题提出基于互信息波段选择和经验模态分解的高精度高光谱数据分类算法(MI-EMD-SVM).分别采用基于互信息波段选择方法和经验模态分解实现对高光谱数据的冗余信息处理和特征提取,并获得处理后的高光谱数据X'.采用支持向量机分类算法...
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| 关 键 词： | 图像处理 高光谱数据 分类 互信息 波段选择 经验模态分解 分类精度 |
Mutual Information Bands Selection and Empirical Mode Decomposition Based Support Vector Machines for Hyperspectral Data High-Accuracy Classification |
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| Shen Yi Zhang Min Zhang Miao. Mutual Information Bands Selection and Empirical Mode Decomposition Based Support Vector Machines for Hyperspectral Data High-Accuracy Classification[J]. Laser & Optoelectronics Progress, 2011, 0(9): 59-66 |
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| Authors: | Shen Yi Zhang Min Zhang Miao |
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| Affiliation: | Shen Yi Zhang Min Zhang Miao(Department of Control Science and Engineering,Harbin Institute of Technology,Harbin,Heilongjiang 150001,China) |
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| Abstract: | In remote-sensing data processing research,redundant information and noise of high-dimensional hyperspectral data affect the classification accuracy of hyperspectral data seriously.To solve this problem,we propose an algorithm of hyperspectral data classification based on band selection with mutual information and empirical mode decomposition(MI-EMD-SVM).Band selection based on mutual information is used to achieve redundant information processing,and empirical mode decomposition(EMD) is used to achieve fea... |
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| Keywords: | image processing hyperspectral data classification mutual information band selection empirical mode decomposition classification accuracy |
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