NSSC OpenIR  > 微波遥感部
WIND FIELD RETRIEVING FOR SCAT ONBOARD CFOSAT BASED ON PCA METHOD
Xu, Xingou; Dong, Xiaolong; Lin, Wenming; Yun, Risheng; Zhu, Di
作者部门微波遥感部
会议录名称IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
2018
页码5587-5590
语种英语
ISSN号2153-6996
ISBN号978-1-5386-7150-4
摘要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.
关键词Scatterometer (SCAT) China-France Oceanography Satellite (CFOSAT) wind retrieval simulated data principle component analysis (PCA)
会议名称38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期JUL 22-27, 2018
会议地点Valencia, SPAIN
收录类别CPCI
文献类型会议论文
条目标识符http://ir.nssc.ac.cn/handle/122/6707
专题微波遥感部
推荐引用方式
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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
201808519234.pdf(396KB)会议论文 开放获取CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xu, Xingou]的文章
[Dong, Xiaolong]的文章
[Lin, Wenming]的文章
百度学术
百度学术中相似的文章
[Xu, Xingou]的文章
[Dong, Xiaolong]的文章
[Lin, Wenming]的文章
必应学术
必应学术中相似的文章
[Xu, Xingou]的文章
[Dong, Xiaolong]的文章
[Lin, Wenming]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。