基于朴素贝叶斯方法的FY-4A/AGRI云检测模型
|
|
鄢俊洁, 郭雪星, 瞿建华, 韩旻
|
An FY-4A/AGRI cloud detection model based on the naive Bayes algorithm
|
|
YAN Junjie, GUO Xuexing, QU Jianhua, HAN Min
|
|
表2 2019年12个月朴素贝叶斯以业务CLM为真值的交叉比对结果
|
Tab.2 Cross comparison results of naive Bayes in different months with business CLM as truth value in 2019(%)
|
|
| 月份 | 云 | 晴空 | KSS | | POD | FAR | POD | FAR | | 1 | 98.2 | 5.6 | 89.4 | 3.5 | 87.6 | | 2 | 98.1 | 7.4 | 88.5 | 3.1 | 86.6 | | 3 | 97.8 | 6.9 | 87.2 | 4.2 | 85.0 | | 4 | 90.5 | 6.3 | 88.7 | 2.8 | 87.3 | | 5 | 98.5 | 6.4 | 90.3 | 2.3 | 88.9 | | 6 | 98.9 | 4.8 | 89.2 | 2.7 | 88.1 | | 7 | 98.7 | 5.0 | 90.3 | 2.6 | 89.0 | | 8 | 98.8 | 5.2 | 89.0 | 2.6 | 87.8 | | 9 | 90.4 | 7.0 | 88.0 | 2.8 | 86.4 | | 10 | 98.4 | 7.8 | 87.6 | 2.6 | 86.0 | | 11 | 98.0 | 6.7 | 90.1 | 3.0 | 88.1 | | 12 | 98.2 | 6.8 | 89.4 | 2.9 | 87.6 | | 均值 | 97.0 | 6.3 | 89.0 | 2.9 | 87.4 |
|
|
|