Satellite Image Time Series Decomposition Based on EEMD
文献类型：期刊论文
| 作者 | Kong, Yun-long1; Meng, Yu1; Li, Wei1; Yue, An-zhi1; Yuan, Yuan1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 7期号:11页码:1015-1021 |
| 关键词 | satellite image time series ensemble empirical mode decomposition seasonal component trend component |
| 通讯作者 | Meng, Y (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China. |
| 英文摘要 | Satellite Image Time Series (SITS) have recently been of great interest due to the emerging remote sensing capabilities for Earth observation. Trend and seasonal components are two crucial elements of SITS. In this paper, a novel framework of SITS decomposition based on Ensemble Empirical Mode Decomposition (EEMD) is proposed. EEMD is achieved by sifting an ensemble of adaptive orthogonal components called Intrinsic Mode Functions (IMFs). EEMD is noise-assisted and overcomes the drawback of mode mixing in conventional Empirical Mode Decomposition (EMD). Inspired by these advantages, the aim of this work is to employ EEMD to decompose SITS into IMFs and to choose relevant IMFs for the separation of seasonal and trend components. In a series of simulations, IMFs extracted by EEMD achieved a clear representation with physical meaning. The experimental results of 16-day compositions of Moderate Resolution Imaging Spectroradiometer (MODIS), Normalized Difference Vegetation Index (NDVI), and Global Environment Monitoring Index (GEMI) time series with disturbance illustrated the effectiveness and stability of the proposed approach to monitoring tasks, such as applications for the detection of abrupt changes. |
| 研究领域[WOS] | Remote Sensing |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000366185200057 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38074]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Kong, Yun-long 2.Meng, Yu 3.Yue, An-zhi 4.Yuan, Yuan] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 5.[Kong, Yun-long 6.Yuan, Yuan] Univ Chinese Acad Sci, Beijing 100049, Peoples R China 7.[Li, Wei] Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China |
| 推荐引用方式 GB/T 7714 | Kong, Yun-long,Meng, Yu,Li, Wei,et al. Satellite Image Time Series Decomposition Based on EEMD[J]. REMOTE SENSING,2015,7(11):1015-1021. |
| APA | Kong, Yun-long,Meng, Yu,Li, Wei,Yue, An-zhi,&Yuan, Yuan.(2015).Satellite Image Time Series Decomposition Based on EEMD.REMOTE SENSING,7(11),1015-1021. |
| MLA | Kong, Yun-long,et al."Satellite Image Time Series Decomposition Based on EEMD".REMOTE SENSING 7.11(2015):1015-1021. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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