Reconstruction of Satellite-Derived Sea Surface Temperature Data Based on an Improved DINEOF Algorithm
Ping, Bo1; Su, Fenzhen1; Meng, Yunshan1; pingb@lreis.ac.cn; sufz@lreis.ac.cn; mengys@lreis.ac.cn
2015
发表期刊IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
卷号8期号:8页码:4181-4188
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.
部门归属LMB
关键词Data Reconstruction Data Interpolating Empirical Orthogonal Function (Dineof) Northern South China Sea (Nscs) Sea Surface Temperature (Sst)
学科领域Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
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文献类型期刊论文
条目标识符http://ir.scsio.ac.cn/handle/344004/14794
专题中科院海洋生物资源可持续利用重点实验室
通讯作者pingb@lreis.ac.cn; sufz@lreis.ac.cn; mengys@lreis.ac.cn
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
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GB/T 7714
Ping, Bo,Su, Fenzhen,Meng, Yunshan,et al. 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,pingb@lreis.ac.cn,sufz@lreis.ac.cn,&mengys@lreis.ac.cn.(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.
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