基于LFDA和GA-ELM的高光谱图像地物识别方法研究
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李宝芸,范玉刚,杨明莉
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Research on Feature Recognition Method of Hyperspectral Image based on LFDA and GA-ELM
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Baoyun Li,Yugang Fan,Mingli Yang
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表1 Salinas数据集实验结果
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Table 1 Experimental results of Salinas dataset
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| 降维方式 | 分类方式 | AA/% | OA/% | Kappa系数 |
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不进行降维 | SVM | 97.02 | 96.87 | 0.972 | | ELM | 73.29 | 73.11 | 0.736 | | GA-ELM | 85.56 | 85.27 | 0.855 | PCA | SVM | 95.12 | 95.87 | 0.955 | | ELM | 95.65 | 95.60 | 0.952 | | GA-ELM | 85.37 | 85.62 | 0.863 | LDA | SVM | 94.56 | 95.50 | 0.958 | | ELM | 94.22 | 95.62 | 0.962 | | GA-ELM | 86.37 | 86.13 | 0.866 | LFDA | SVM | 96.56 | 96.50 | 0.958 | | ELM | 96.22 | 96.62 | 0.962 | | GA-ELM | 97.38 | 98.56 | 0.972 |
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