| WIND FIELD RETRIEVING FOR SCAT ONBOARD CFOSAT BASED ON PCA METHOD | |
| Xu, Xingou; Dong, Xiaolong; Lin, Wenming; Yun, Risheng; Zhu, Di | |
| Department | 微波遥感部 |
| Source Publication | IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM |
| 2018 | |
| Pages | 5587-5590 |
| Language | 英语 |
| ISSN | 2153-6996 |
| ISBN | 978-1-5386-7150-4 |
| Abstract | The scatterometer (SCAT) onboard China France Oceanography Satellite (CFOSAT) will be the first scanning scatterometer with rotating fan-beams. Wind retrieving methods for existed scatterometers, which are with rotating pencil beams or fixed fan beams, are needed to be modified considering efficiency in information extraction from the numerous observations acquired in this working mode. This was achieved in the research of this paper by applying Principle Component Analysis (PCA) method. Firstly, vectors for applying PCA are composed in two different ways for analysis of the effectiveness of information extraction for the SCAT data and for wind retrieving respectively. Then the description of simulated SCAT data considering observing geometry and SCAT working mode was given. Then experiments of PCA based wind retrieving method was carried out with conclusion that it was effective in information extraction for preparing data sets for wind retrieving. Finally, further research has been discussed. |
| Keyword | Scatterometer (SCAT) China-France Oceanography Satellite (CFOSAT) wind retrieval simulated data principle component analysis (PCA) |
| Conference Name | 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
| Conference Date | JUL 22-27, 2018 |
| Conference Place | Valencia, SPAIN |
| Indexed By | CPCI |
| Document Type | 会议论文 |
| Identifier | http://ir.nssc.ac.cn/handle/122/6707 |
| Collection | 微波遥感部 |
| Recommended Citation GB/T 7714 | Xu, Xingou,Dong, Xiaolong,Lin, Wenming,et al. WIND FIELD RETRIEVING FOR SCAT ONBOARD CFOSAT BASED ON PCA METHOD[C],2018:5587-5590. |
| Files in This Item: | Download All | |||||
| File Name/Size | DocType | Version | Access | License | ||
| 201808519234.pdf（396KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Download | ||
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