研究文章
检测和分类的早期腐烂在蓝莓基于改进深剩余3 d卷积神经网络在高光谱图像
|
| 类 |
AlexNet |
GoogleNet |
3 d-cnn |
ResNet |
提出了 |
|
| 声音 |
85.3 |
83.4 |
82.7 |
97.2 |
98.25 |
| Slight-decayed |
96.3 |
94.2 |
89.7 |
83.1 |
95.1 |
| Moderate-decayed |
69.6 |
70.4 |
62.0 |
84.4 |
93.6 |
| Severe-decayed |
58.0 |
66.9 |
65.5 |
84.4 |
89.4 |
| OA (%) |
77.8 |
81.9 |
80.6 |
85.6 |
95.2 |
| AA (%) |
61.3 |
64.2 |
68.3 |
79.8 |
91.5 |
| K (%) |
74.5 |
79.3 |
77.9 |
84.6 |
94.6 |
|
|
