SCSIO OpenIR  > 中科院海洋生物资源可持续利用重点实验室
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
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
Volume8Issue:8Pages:4181-4188
AbstractAn 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.
DepartmentLMB
KeywordData Reconstruction Data Interpolating Empirical Orthogonal Function (Dineof) Northern South China Sea (Nscs) Sea Surface Temperature (Sst)
Subject AreaEngineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
URL查看原文
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/14794
Collection中科院海洋生物资源可持续利用重点实验室
Corresponding Authorpingb@lreis.ac.cn; sufz@lreis.ac.cn; mengys@lreis.ac.cn
Affiliation1.[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
Recommended Citation
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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