Monitoring abrupt changes in satellite time series by seasonal confidence interval of regression residuals
文献类型：期刊论文
| 作者 | Zhou, Zeng-Guang1; Hu, Chang-Miao1; Tang, Ping1; Zhang, Zheng1 |
| 刊名 | International Journal of Wavelets, Multiresolution and Information Processing
 |
| 出版日期 | 2016 |
| 卷号 | 14期号:4 |
| 关键词 | TROPICAL DEFORESTATION TIME-SERIES MODIS DEFOLIATION WATER CHLOROPHYLL MODEL HEAT |
| 英文摘要 | Near real-time monitoring of abrupt changes in satellite time series is important for timely warning of land covers changes. Regression model-based method has been frequently used to detect abrupt change (outlier or anomaly) in time series data. Abrupt change is often determined by residuals test after regression. A simple and widely used residuals test technique is confidence interval (CI), which is often time-independent or constant in many studies. However, satellite time series data is characterized by seasonal variability and periodicity. Although the periodicity could be fitted well by a seasonal-trend regression model, the seasonal variability still remains in the residuals of the regression model. The seasonal variability would lead to less reliable results if abrupt changes are detected by a constant confidence interval (CCI). In order to improve the reliability of abrupt change monitoring in satellite time series, in this paper we develop a criterion namely seasonal confidence interval (SCI) of regression residuals. Experimental evaluations with some simulated and actual satellite time series data demonstrate better performance of the proposed SCI criterion than the CCI criterion for monitoring abrupt changes in satellite time series. © 2016 World Scientific Publishing Company. |
| 学科主题 | Computer Science; Mathematics |
| 类目[WOS] | Computer Science, Software Engineering ; Mathematics, Interdisciplinary Applications |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20162902593484 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39399]  |
| 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. Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), Beijing 2.100101, China 3. University of Chinese Academy of Sciences (UCAS), No. 19A Yuquan Rd., Haidian District, Beijing, China |
| 推荐引用方式 GB/T 7714 | Zhou, Zeng-Guang,Hu, Chang-Miao,Tang, Ping,et al. Monitoring abrupt changes in satellite time series by seasonal confidence interval of regression residuals[J]. International Journal of Wavelets, Multiresolution and Information Processing,2016,14(4). |
| APA | Zhou, Zeng-Guang,Hu, Chang-Miao,Tang, Ping,&Zhang, Zheng.(2016).Monitoring abrupt changes in satellite time series by seasonal confidence interval of regression residuals.International Journal of Wavelets, Multiresolution and Information Processing,14(4). |
| MLA | Zhou, Zeng-Guang,et al."Monitoring abrupt changes in satellite time series by seasonal confidence interval of regression residuals".International Journal of Wavelets, Multiresolution and Information Processing 14.4(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
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