Changchun Institute of Optics,Fine Mechanics and Physics,CAS
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. | |
2018 | |
发表期刊 | Ieee Geoscience and Remote Sensing Letters |
ISSN | 1545-598X |
卷号 | 15期号:2页码:207-211 |
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. |
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 |
DOI | 10.1109/lgrs.2017.2780843 |
收录类别 | SCI |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | 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. |
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A CFCC-LSTM Model fo(1271KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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