空谱特征分层融合的高光谱图像特征提取
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姚本佐, 何芳
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Spatial and spectral feature hierarchical fusion for hyperspectral image feature extraction
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Benzuo YAO, Fang HE
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表2 Salinas数据库不同算法各类地物的分类精度
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Tab.2 Classification accuracy of different types of features in Salinas dataset by different algorithms(%)
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地物类别 | KNN | PCA | HF-PCA | | 地物类别 | KNN | PCA | HF-PCA | Brocoli-green-weeds_1 | 98.54 | 98.54 | 99.75 | Soil-vinyard-develop | 97.49 | 97.39 | 99.56 | Brocoli-green-weeds_2 | 98.54 | 98.43 | 99.70 | Corn-senesced-green-weeds | 83.94 | 83.20 | 92.49 | Fallow | 80.88 | 79.09 | 96.62 | Lettuce-romained-4wk | 88.93 | 88.93 | 89.76 | Fallow-rough-plow | 98.70 | 98.70 | 99.07 | Lettuce-romained-5wk | 100 | 100 | 99.97 | Fallow-smooth | 95.36 | 96.27 | 97.83 | Lettuce-romained-6wk | 97.57 | 96.91 | 99.05 | Stubble | 98.85 | 98.85 | 99.78 | Lettuce-romained-7wk | 87.54 | 87.44 | 96.83 | Celery | 98.93 | 98.93 | 99.60 | Vinyard_untrained | 59.65 | 59.32 | 88.25 | Grapes-untrained | 70.39 | 69.30 | 89.57 | Vinyard_vertical-trellis | 89.66 | 89.60 | 96.18 |
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