激光与光电子学进展, 2011, 48 (9): 091001, 网络出版: 2011-07-25   

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

Mutual Information Bands Selection and Empirical Mode Decomposition Based Support Vector Machines for Hyperspectral Data High-Accuracy Classification
作者单位
哈尔滨工业大学控制科学与工程系, 黑龙江 哈尔滨 150001
引用该论文

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, 48(9): 091001.

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, 48(9): 091001.

参考文献

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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, 48(9): 091001. 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, 48(9): 091001.

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