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Deep learning to estimate ocean subsurface salinity structure in the Indian Ocean using satellite observations 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2024, 页码: 13
作者:  Qi, Jifeng;  Sun, Guimin;  Xie, Bowen;  Li, Delei;  Yin, Baoshu
收藏  |  浏览/下载：94/0  |  提交时间：2024/04/07
machine learning  convolutional neural network (CNN)  ocean subsurface salinity structure (OSSS)  Indian Ocean  satellite observations  
Rapid identification of fish species by laser-induced breakdown spectroscopy and Raman spectroscopy coupled with machine learning methods 期刊论文
FOOD CHEMISTRY, 2023, 卷号: 400, 页码: 9
作者:  Ren, Lihui;  Tian, Ye;  Yang, Xiaoying;  Wang, Qi;  Wang, Leshan;  Geng, Xin;  Wang, Kaiqiang;  Du, Zengfeng;  Li, Ying;  Lin, Hong
Adobe PDF(4660Kb)  |  收藏  |  浏览/下载：246/0  |  提交时间：2023/01/12
Fish species identification  laser -induced breakdown spectroscopy (LIBS)  Raman spectroscopy  Machine learning  convolutional neural network (CNN)  Data fusion  
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：254/0  |  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  
Tropical Cyclone Intensity Estimation From Geostationary Satellite Imagery Using Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Wang, Chong;  Zheng, Gang;  Li, Xiaofeng;  Xu, Qing;  Liu, Bin;  Zhang, Jun
Adobe PDF(4821Kb)  |  收藏  |  浏览/下载：294/0  |  提交时间：2022/02/18
Estimation  Ocean temperature  Clouds  Tropical cyclones  Cyclones  Training  Geostationary satellites  Convolutional neural network (CNN)  deep learning  remote sensing  tropical cyclone (TC)  
A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 59801-59820
作者:  Song, Dongmei;  Zhen, Zongjin;  Wang, Bin;  Li, Xiaofeng;  Gao, Le;  Wang, Ning;  Xie, Tao;  Zhang, Ting
Adobe PDF(5827Kb)  |  收藏  |  浏览/下载：273/0  |  提交时间：2020/09/23
Marine oil spill  RADARSAT-2  PolSAR  deep learning  feature extraction  convolutional neural network (CNN)