空谱特征分层融合的高光谱图像特征提取

姚本佐, 何芳

Spatial and spectral feature hierarchical fusion for hyperspectral image feature extraction

Benzuo YAO, Fang HE

表1 Indian Pines数据库不同算法各类地物的分类精度

Tab.1 Classification accuracy of different types of features in Indian Pines dataset by different algorithms(%)

地物类别 KNN PCA HF-PCA 地物类别 KNN PCA HF-PCA Alfalfa 80.56 80.56 97.78 Oats 80.00 70.00 100 Corn-notill 46.57 45.84 84.32 Soybeans-notill 61.21 60.46 87.06 Corn-mintill 57.49 56.60 79.06 Soybeans-mintill 66.21 64.71 90.21 Corn 28.00 29.33 47.20 Soybeans-clean 44.40 43.16 70.05 Grass/pasture 78.87 78.21 87.93 Wheat 94.36 93.33 98.15 Grass/trees 94.37 94.52 97.63 Woods 88.02 88.69 95.97 Grass/pasture-mowed 100 100 97.78 Buildings-grass-tree-drives 41.14 39.78 62.94 Hay-windrowed 94.71 94.05 98.37 Stone-steel-towers 85.54 85.54 92.53