利用提升树模型综合Gabor和LPQ特征进行遥感地物识别
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姜亚楠,张春雷,张欣,徐权威,张舒涛,周锐
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Boosting Tree Model with Gabor and LPQ Feature Fusion of HSI Ground Object Recognition
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Yanan Jiang,Chunlei Zhang,Xin Zhang,Quanwei Xu,Shutao Zhang,Rui Zhou
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表2 I图像预处理效果对比(%) (%)
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Table 2 Comparison of image preprocessing effect
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分类器 | Indian Pines | Salinas | 茶树 |
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原始 数据 | PCA8 | 原始数据 | PCA8 | 原始数据 | PCA8 |
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SVM | 55.66 | 54.36 | 78.73 | 80.53 | 90.93 | 90.27 | Bayes | 50.40 | 51.85 | 74.82 | 78.07 | 85.55 | 89.2 | BP | 73.72 | 57.34 | 88.90 | 85.31 | 91.98 | 90.52 | DT | 55.62 | 56.52 | 81.34 | 80.88 | 87.36 | 86.88 | RF | 72.38 | 66.46 | 87.14 | 87.04 | 91.1 | 90.98 | XGBoost | 69.43 | 64.57 | 86.01 | 86.06 | 90.58 | 90.42 | LightGBM | 69.88 | 64.42 | 86.47 | 85.85 | 89.73 | 89.07 | CatBoost | 71.26 | 67.36 | 88.04 | 87.24 | 91.54 | 91.39 |
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