Reconstruction of Satellite-Derived Sea Surface Temperature Data Based on an Improved DINEOF Algorithm
文献类型：期刊论文
| 作者 | Ping, Bo1; Su, Fenzhen1; Meng, Yunshan1 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2015 |
| 卷号 | 8期号:8页码:4181-4188 |
| 关键词 | Data reconstruction data interpolating empirical orthogonal function (DINEOF) Northern South China Sea (NSCS) sea surface temperature (SST) |
| 通讯作者 | pingb@lreis.ac.cn ; sufz@lreis.ac.cn ; mengys@lreis.ac.cn |
| 英文摘要 | An improved data interpolating empirical orthogonal function (I-DINEOF) algorithm was proposed in this study. Compared with the ordinary DINEOF algorithm, in the I-DINEOF algorithm, the existing data are not necessary to be selected for cross-validation and the initial matrix is directly used for reconstruction. Instead of using single EOF to reconstruct the whole spatio-temporal matrix, the initial matrix is divided into several subareas and each subarea is reconstructed by the most suitable EOF. To validate the accuracy of the I-DINEOF algorithm, a real sea surface temperature (SST) data set and three synthetic data sets with different missing data percentage are reconstructed by using the DINEOF and I-DINEOF algorithms. Four parameters (Pearson correlation coefficient, signal-to-noise ratio, root-mean-square error, and mean absolute difference) are used as a measure of reconstructed accuracy. Compared with the DINEOF algorithm, the I-DINEOF algorithm is less affected by the missing data and can significantly enhance the accuracy of reconstruction. |
| 学科主题 | Engineering; Physical Geography; Remote Sensing; Imaging Science & Photographic Technology |
| 原文出处 | 1939-1404 |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/14794]  |
| 专题 | 南海海洋研究所_中科院海洋生物资源可持续利用重点实验室 |
| 作者单位 | 1.[Ping, Bo] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China 2.[Su, Fenzhen 3.Meng, Yunshan] Chinese Acad Sci, Lab Resource & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.[Su, Fenzhen] Nanjing Univ, Collaborat Innovat Ctr South China Sea Studies, Nanjing 210008, Jiangsu, Peoples R China 5.[Meng, Yunshan] Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ping, Bo,Su, Fenzhen,Meng, Yunshan. Reconstruction of Satellite-Derived Sea Surface Temperature Data Based on an Improved DINEOF Algorithm[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(8):4181-4188. |
| APA | Ping, Bo,Su, Fenzhen,&Meng, Yunshan.(2015).Reconstruction of Satellite-Derived Sea Surface Temperature Data Based on an Improved DINEOF Algorithm.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(8),4181-4188. |
| MLA | Ping, Bo,et al."Reconstruction of Satellite-Derived Sea Surface Temperature Data Based on an Improved DINEOF Algorithm".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.8(2015):4181-4188. |
入库方式： OAI收割
来源：南海海洋研究所
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