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	Reconstruction of Satellite-Derived Sea Surface Temperature Data Based on an Improved DINEOF Algorithm
	Ping B.; Su, F. Z.; Meng, Y. S.
	2015
关键词	Data reconstruction data interpolating empirical orthogonal function (DINEOF) Northern South China Sea (NSCS) sea surface temperature (SST) empirical orthogonal functions south china sea cloud-free temporal variability yellow seas bohai gulf sst
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.
出处	Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing
卷	8
期	8
页	4181-4188
收录类别	SCI
语种	英语
ISSN号	1939-1404
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/38475]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Ping B.,Su, F. Z.,Meng, Y. S.. Reconstruction of Satellite-Derived Sea Surface Temperature Data Based on an Improved DINEOF Algorithm. 2015.

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