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Evaluation of precipitation forecasting methods and an advanced lightweight model 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 9, 页码: 12
作者:  Yang, Nan;  Wang, Chong;  Li, Xiaofeng
收藏  |  浏览/下载：53/0  |  提交时间：2024/08/30
precipitation forecasting  model analysis  deep learning  adversarial generative network  
Internal solitary wave in the Lombok Strait: Satellite-observed spatiotemporal characteristics and their propagations modulated by the Indonesian Throughflow 期刊论文
OCEAN MODELLING, 2024, 卷号: 190, 页码: 9
作者:  Zhuang, Chuyuan;  Li, Xiaofeng;  Shen, Dongliang;  Zhang, Xudong
收藏  |  浏览/下载：47/0  |  提交时间：2024/09/02
Internal solitary wave  Indonesian Throughflow  Remote sensing  Lombok Strait  MITgcm  
Spatial distribution of bedforms and related flow processes around canyon mouths: Insights from the Rovuma Basin (offshore Mozambique) 期刊论文
BASIN RESEARCH, 2024, 卷号: 36, 期号: 4, 页码: 25
作者:  Chen, Yuhang;  Lu, Yintao;  Wang, Xiaofeng;  Fan, Guozhang;  Li, Lin;  Xu, Xiaoyong;  Zuo, Guoping;  Shao, Dali;  Cao, Quanbin
收藏  |  浏览/下载：12/0  |  提交时间：2024/09/02
bedforms  cyclic steps  flow process  Rovuma Basin  spatial distribution  turbidity current  
Deep learning techniques for enhanced sea-ice types classification in the Beaufort Sea via SAR imagery 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 308, 页码: 19
作者:  Huang, Yan;  Ren, Yibin;  Li, Xiaofeng
收藏  |  浏览/下载：43/0  |  提交时间：2024/08/29
Synthetic aperture radar (SAR)  Sea ice classification  Deep learning  Beaufort sea  
Rainband-Occurrence Probability in Northern Hemisphere Tropical Cyclones by Synthetic Aperture Radar Imagery 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2024, 卷号: 51, 期号: 10, 页码: 10
作者:  Zheng, Gang;  Jiang, Han;  Wu, Liang;  Li, Xiaofeng;  Zhou, Lizhang;  Wu, Qiaoyan;  Chen, Peng;  Ren, Lin
收藏  |  浏览/下载：14/0  |  提交时间：2024/08/29
occurrence probability  rainband  synthetic aperture radar (SAR)  tropical cyclone (TC)  
Transitions in surface thermal signatures during the evolution of long-lived eddies in the global ocean 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2024, 卷号: 206, 页码: 14
作者:  Liu, Yingjie;  Li, Xiaofeng;  Liu, Chuanyu;  Liu, Qian
收藏  |  浏览/下载：11/0  |  提交时间：2024/08/29
Long-lived eddy  Thermal signature transition  Vertical structure  Eddy-induced ekman pumping  Mixed layer  Subduction  
Tropical cyclone intensity forecasting using model knowledge guided deep learning model 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 2, 页码: 10
作者:  Wang, Chong;  Li, Xiaofeng;  Zheng, Gang
收藏  |  浏览/下载：37/0  |  提交时间：2024/04/07
tropical cyclone intensity forecast  deep learning  model knowledge  
Deep-Learning-Based Marine Aquaculture Zone Extractions From Dual-Polarimetric SAR Imagery 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 8043-8057
作者:  Chen, Wantai;  Li, Xiaofeng
收藏  |  浏览/下载：10/0  |  提交时间：2024/08/29
Aquaculture  Radar polarimetry  Imaging  Tides  Monitoring  Task analysis  Radar imaging  Deep convolution neural networks (DCNNs)  imaging characteristics  marine aquaculture zones (MAZs)  Sentinel-1  synthetic aperture radar (SAR)  
Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 6642-6657
作者:  Zhou, Yuan;  Ren, Tian;  Chen, Keran;  Gao, Le;  Li, Xiaofeng
收藏  |  浏览/下载：35/0  |  提交时间：2024/06/04
Forecasting  Predictive models  Atmospheric waves  Spatiotemporal phenomena  Sea surface  Ocean waves  Data models  Sea-surface height anomaly (SSHA)  deep learning (DL)  spatiotemporal prediction  Rossby waves  
DeepSeaNet: A Bio-Detection Network Enabling Species Identification in the Deep Sea Imagery 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 13
作者:  Liu, Aiyue;  Liu, Yuhai;  Xu, Kuidong;  Zhao, Feng;  Zhou, Yuan;  Li, Xiaofeng
Adobe PDF(2856Kb)  |  收藏  |  浏览/下载：118/1  |  提交时间：2024/06/04
Data augmentation  deep-sea remotely operated vehicle (ROV) data  new species indication  real-time object detection network  seamount fine-grained dataset