An Improved Cloud Classification Algorithm for China's FY-2C Multi-Channel Images Using Artificial Neural Network
文献类型：SCI/SSCI论文
| 作者 | Xia J. |
| 发表日期 | 2009 |
| 关键词 | FY-2C multi-channel satellite image ANN cloud classification pattern-recognition avhrr imagery surface retrieval regions scheme |
| 英文摘要 | The crowning objective of this research was to identify a better cloud classification method to upgrade the current window-based clustering algorithm used operationally for China's first operational geostationary meteorological satellite FengYun-2C (FY-2C) data. First, the capabilities of six widely-used Artificial Neural Network (ANN) methods are analyzed, together with the comparison of two other methods: Principal Component Analysis (PCA) and a Support Vector Machine (SVM), using 2864 cloud samples manually collected by meteorologists in June, July, and August in 2007 from three FY-2C channel (IR1, 10.3-11.3 mu m; IR2, 11.5-12.5 mu m and WV 6.3-7.6 mu m) imagery. The result shows that: (1) ANN approaches, in general, outperformed the PCA and the SVM given sufficient training samples and (2) among the six ANN networks, higher cloud classification accuracy was obtained with the Self-Organizing Map (SOM) and Probabilistic Neural Network (PNN). Second, to compare the ANN methods to the present FY-2C operational algorithm, this study implemented SOM, one of the best ANN network identified from this study, as an automated cloud classification system for the FY-2C multi-channel data. It shows that SOM method has improved the results greatly not only in pixel-level accuracy but also in cloud patch-level classification by more accurately identifying cloud types such as cumulonimbus, cirrus and clouds in high latitude. Findings of this study suggest that the ANN-based classifiers, in particular the SOM, can be potentially used as an improved Automated Cloud Classification Algorithm to upgrade the current window-based clustering method for the FY-2C operational products. |
| 出处 | Sensors |
| 卷 | 9 |
| 期 | 7 |
| 页 | 5558-5579 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1424-8220 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/23401]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Xia J.. An Improved Cloud Classification Algorithm for China's FY-2C Multi-Channel Images Using Artificial Neural Network. 2009. |
入库方式： OAI收割
来源：地理科学与资源研究所
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