A CFCC-LSTM Model for Sea Surface Temperature Prediction

doi:10.1109/lgrs.2017.2780843

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	A CFCC-LSTM Model for Sea Surface Temperature Prediction
	Yang, Y. T.; Dong, J. Y.; Sun, X.; Lima, E.; Mu, Q. Q.; Wang, X. H.
刊名	Ieee Geoscience and Remote Sensing Letters
	2018
卷号	15 期号:2 页码:207-211
关键词	Long short term memory (LSTM) sea surface temperature (SST) spatiotemporal sequence prediction ocean Geochemistry & Geophysics Engineering Remote Sensing Imaging Science & Photographic Technology
ISSN号	1545-598X
DOI	10.1109/lgrs.2017.2780843
英文摘要	Sea surface temperature (SST) prediction is not only theoretically important but also has a number of practical applications across a variety of ocean-related fields. Although a large amount of SST data obtained via remote sensor are available, previous work rarely attempted to predict future SST values from history data in spatiotemporal perspective. This letter regards SST prediction as a sequence prediction problem and builds an end-to-end trainable long short term memory (LSTM) neural network model. LSTM naturally has the ability to learn the temporal relationship of time series data. Besides temporal information, spatial information is also included in our LSTM model. The local correlation and global coherence of each pixel can be expressed and retained by patches with fixed dimensions. The proposed model essentially combines the temporal and spatial information to predict future SST values. Its structure includes one fully connected LSTM layer and one convolution layer. Experimental results on two data sets, i.e., one Advanced Very High Resolution Radiometer SST data set covering China Coastal waters and one National Oceanic and Atmospheric Administration High-Resolution SST data set covering the Bohai Sea, confirmed the effectiveness of the proposed model.
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/60556]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Yang, Y. T.,Dong, J. Y.,Sun, X.,et al. A CFCC-LSTM Model for Sea Surface Temperature Prediction[J]. Ieee Geoscience and Remote Sensing Letters,2018,15(2):207-211.
APA	Yang, Y. T.,Dong, J. Y.,Sun, X.,Lima, E.,Mu, Q. Q.,&Wang, X. H..(2018).A CFCC-LSTM Model for Sea Surface Temperature Prediction.Ieee Geoscience and Remote Sensing Letters,15(2),207-211.
MLA	Yang, Y. T.,et al."A CFCC-LSTM Model for Sea Surface Temperature Prediction".Ieee Geoscience and Remote Sensing Letters 15.2(2018):207-211.