MODIS Cloud Detection and Analysis Based on Support Vector Machine
文献类型：会议论文
| 作者 | Pan C; Xia B; McGill M; Li JF; Chen HS; Gao HJ |
| 出版日期 | 2009-05-21 |
| 会议日期 | 2009-5-21 |
| 会议地点 | Manchester, ENGLAND |
| 英文摘要 | Cloud detection is a large obstacle to remote sensing image processing and a necessary step to preprocess image all the while. In order to discriminate the clouds, the article applies Support Vector Machine (SVM) algorithm to some channels of Moderate Resolution Imaging Spectroradiometer (MODIS) which are sensitive to characteristic of clouds. To prove the performance of the cloud detection algorithm, the article uses the MODIS images of typical areas under distinct underlying surfaces in different daytime and nighttime as training and testing samples. By comparison with Cloud Physics Lidar (CPL) data and MODIS Cloud Mask product, it is proved that the algorithm is good at detecting the territorial cloud and some pixels with small area. The SVM algorithm is a kind of practical machine learning method for cloud detection and good preparation for cloud elimination. What is more, the article indicates improved methods to cloud detection with SVM. |
| 会议录 | 2nd International Conference on Modelling and Simulation
 |
| 语种 | 英语 |
| 源URL | [http://210.77.94.230:8080/handle/344008/9421]  |
| 专题 | 广州地球化学研究所_中科院广州地化所(-2008) |
| 推荐引用方式 GB/T 7714 | Pan C,Xia B,McGill M,et al. MODIS Cloud Detection and Analysis Based on Support Vector Machine[C]. 见:. Manchester, ENGLAND. 2009-5-21. |
入库方式： OAI收割
来源：广州地球化学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。