研究文章
多尺度密集Cross-Attention机制与协方差池高光谱图像场景分类
|
| 方法 |
5% |
10% |
15% |
| 办公自动化 |
AA |
卡巴 |
办公自动化 |
AA |
卡巴 |
办公自动化 |
AA |
卡巴 |
|
| AlexNet [23] |
68.69 |
56.29 |
64.05 |
74.32 |
65.17 |
70.94 |
81.76 |
79.44 |
79.70 |
| ResNet [33] |
70.67 |
69.69 |
66.04 |
78.40 |
79.22 |
75.10 |
83.33 |
80.76 |
80.95 |
| DenseNet [34] |
71.23 |
67.55 |
66.66 |
78.37 |
75.29 |
75.87 |
84.66 |
81.37 |
82.58 |
| 普朗[35] |
72.45 |
73.37 |
69.48 |
77.66 |
73.28 |
74.47 |
82.72 |
76.51 |
80.28 |
| FSSFNet [36] |
73.75 |
67.95 |
69.98 |
78.66 |
71.26 |
75.47 |
82.61 |
74.48 |
80.05 |
| SAGP [37] |
73.49 |
76.58 |
73.61 |
78.36 |
80.89 |
76.72 |
81.59 |
86.50 |
82.89 |
| MDCA-CP |
76.85 |
79.11 |
73.72 |
82.56 |
81.87 |
80.03 |
87.32 |
87.65 |
85.55 |
|
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