CORC  > 山东大学
Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction
Fu, Yanguang; Zhou, Xinghua; Sun, Weikang; Tang, Qiuhua
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
2019
卷号40期号:20页码:7817-7829
DOI10.1080/01431161.2019.1606959
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4546998
专题山东大学
作者单位1.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Shandong, Peoples R China.
2.[Fu, Yan
推荐引用方式
GB/T 7714
Fu, Yanguang,Zhou, Xinghua,Sun, Weikang,et al. Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(20):7817-7829.
APA Fu, Yanguang,Zhou, Xinghua,Sun, Weikang,&Tang, Qiuhua.(2019).Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(20),7817-7829.
MLA Fu, Yanguang,et al."Hybrid model combining empirical mode decomposition, singular spectrum analysis, and least squares for satellite-derived sea-level anomaly prediction".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.20(2019):7817-7829.
个性服务
查看访问统计
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。


©版权所有 ©2017 CSpace - Powered by CSpace