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Prediction of 3-D Ocean Temperature Based on Self-Attention and Predictive RNN 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Yue, Weihao;  Xu, Yongsheng;  Xiang, Liang;  Zhu, Shanliang;  Huang, Chao;  Zhang, Qingjun;  Zhang, Liqiang;  Zhan, Xiangguang
收藏  |  浏览/下载：0/0  |  提交时间：2024/06/04
Climate change  Recurrent neural networks  Temperature measurement  Ocean temperature  Predictive models  Global gridded temperature data with Barnes objective analysis (BOA-ARGO)  predictive recurrent neural network (PredRNN)  self-attention  
Recovering Bathymetry From Satellite Altimetry-Derived Gravity by Fully Connected Deep Neural Network 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 卷号: 20, 页码: 5
作者:  Yang, Lei;  Liu, Min;  Liu, Na;  Guo, Jinyun;  Lin, Lina;  Zhang, Yuyuan;  Du, Xing;  Xu, Yongsheng;  Zhu, Chengcheng;  Wang, Yongkang
收藏  |  浏览/下载：156/0  |  提交时间：2023/12/07
Gravity  Bathymetry  Satellites  Geology  Altimetry  Geologic measurements  Sea measurements  convolutional neural network (CNN)  fully connected deep neural network (FC-DNN)  gravity  gravity-geological method  satellite altimetry  
Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Ren, Yibin;  Li, Xiaofeng;  Yang, Xiaofeng;  Xu, Huan
Adobe PDF(8369Kb)  |  收藏  |  浏览/下载：230/0  |  提交时间：2022/02/18
Sea ice  Radar polarimetry  Feature extraction  Decoding  Oceans  Kernel  Image segmentation  Dual-attention  sea ice and open water classification  synthetic aperture radar (SAR) image  U-Net  
Estimation of Global Wind Energy Input to the Surface Waves Based on the Scatterometer 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 卷号: 9, 期号: 6, 页码: 1017-1020
作者:  Liu, Guoqiang;  He, Yijun;  Zhang, Yuanzhi;  Shen, Hui;  Liu, GQ (reprint author), Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada.
Adobe PDF(699Kb)  |  收藏  |  浏览/下载：229/0  |  提交时间：2013/09/24
Scatterometer  Sea State Remote Sensing  Surface Wave Energy