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Rufu Qin - IEEE Xplore Author Profile

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Author details

Rufu Qin

Publications

6

Citations

38

Publications by Year

20122024

Co-Authors:

Jiannong CaoYuwei ChenJie ChenHui ChenJihong Guan

Show All Co-Authors (18)

Rufu Qin

Affiliation

School of Ocean and Earth Science

Tongji University

Shanghai, China

Publication Topics

Convolutional Neural Network,
East China Sea,
Prediction Accuracy,
Sea Surface Temperature,
Aerial Images,
Anchor Boxes,
Anchor-based Methods,
Bounding Box,
Central Point,
Classification Branch,
Complex Background,
Convolution Kernel

Biography

Rufu Qin received the bachelor's degree in applied geophysice from Jilin University, Changchun, China, in 2001, and the Ph.D. degree in geoexploration and information technology from Jilin University, Changchun, China, in 2006.,He is currently an Associate Professor with the School of Ocean and Earth Science, Tongji University, Shanghai, China. His research interests include geographic information systems, remote sensing, and data mining.(Based on document published on 17 November 2021).

Publications

6

Citations

38

Publications by Year

20122024

Co-Authors:

Jiannong Cao
Yuwei Chen
Jie Chen
Hui Chen
Jihong Guan

Show All Co-Authors (18)

Author's Published Works

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Showing 1-6 of 6 results

Conferences (4)

Journals (2)

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Single Year
Rufu Qin(6)
Jihong Guan(3)
Shuigeng Zhou(3)
Wengen Li(3)
Huiping Xu(2)
State Key Laboratory of Marine Geology, Tongji University, Shanghai, China(4)
Department of Computer Science and Technology, Tongji University, Shanghai, China(3)
School of Computer Science, Fudan University, Shanghai, China(2)
Project Management Office of China National Scientific Seafloor Observatory, Tongji University, Shanghai, China(2)
School of Ocean and Earth Science, Tongji University, Shanghai, China(1)
2012 Oceans - Yeosu(1)
2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)(1)
2021 International Joint Conference on Neural Networks (IJCNN)(1)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(1)
IEEE Transactions on Geoscience and Remote Sensing(1)
IEEE(6)
Dalian, China(1)
Shenzhen, China(1)
Taipei, Taiwan(1)
Yeosu, Korea (South)(1)
East China Sea(3)
Convolutional Neural Network(2)
Form Of Chart(2)
Geographic Information System(2)
Marine Science(2)

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UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales

Hanchen Yang;Yuwei Chen;Jiannong Cao;Wengen Li;Yu Yang;Shuyu Wang;Jihong Guan;Rufu Qin;Shuigeng Zhou

IEEE Transactions on Geoscience and Remote Sensing

Year: 2024 | Volume: 62 | Journal Article |

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Accurate prediction of ocean factors (e.g., temperature and salinity) is crucial for plenty of applications, including weather forecasting, storm tracking, and ecosystem protection. Meanwhile, it is well-known that the ocean is a unified system and various ocean factors usually influence each other. For example, the changes in temperature would affect the distribution of salinity in ocean. However...Show More

UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales

Hanchen Yang;Yuwei Chen;Jiannong Cao;Wengen Li;Yu Yang;Shuyu Wang;Jihong Guan;Rufu Qin;Shuigeng Zhou

IEEE Transactions on Geoscience and Remote Sensing

Year: 2024 | Volume: 62 | Journal Article |

D2CL: A Dense Dilated Convolutional LSTM Model for Sea Surface Temperature Prediction

Siyun Hou;Wengen Li;Tianying Liu;Shuigeng Zhou;Jihong Guan;Rufu Qin;Zhenfeng Wang

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2021 | Volume: 14 | Journal Article |

Cited by: Papers (34)

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Accurately predicting sea surface temperature (SST) is practically important to many applications, such as weather forecasting, ocean environment protection, and marine disaster prevention. The major challenge for predicting SST is to capture both the spatial and temporal characteristics of SST, which has not yet been well addressed by the existing methods. In this work, we proposed a novel dense ...Show More

D2CL: A Dense Dilated Convolutional LSTM Model for Sea Surface Temperature Prediction

Siyun Hou;Wengen Li;Tianying Liu;Shuigeng Zhou;Jihong Guan;Rufu Qin;Zhenfeng Wang

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Year: 2021 | Volume: 14 | Journal Article |

RBA-CenterNet: Feature Enhancement by Rotated Border Alignment for Oriented Object Detection

Tianying Liu;Yang Wang;Siyun Hou;Wengen Li;Jihong Guan;Shuigeng Zhou;Rufu Qin

2021 International Joint Conference on Neural Networks (IJCNN)

Year: 2021 | Conference Paper |

Cited by: Papers (2)

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Generic object detection has achieved significant progress in recent years. However, oriented object detection in aerial images is still a challenging task due to arbitrary orientation, complex backgrounds and large scale variation. Currently, the majority of oriented object detectors are anchor-based, achieving promising performance yet suffering from complicated anchor designs and imbalance betw...Show More

RBA-CenterNet: Feature Enhancement by Rotated Border Alignment for Oriented Object Detection

Tianying Liu;Yang Wang;Siyun Hou;Wengen Li;Jihong Guan;Shuigeng Zhou;Rufu Qin

2021 International Joint Conference on Neural Networks (IJCNN)

Year: 2021 | Conference Paper |

Design and Development of a Secondary Receiver Terminal for Xiaoqushan Seafloor Observatory in the East China Sea

Hui Chen;Rufu Qin;Huiping Xu

2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)

Year: 2017 | Conference Paper |

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This study introduces a Secondary Receiver Terminal for Xiaoqushan Seafloor Observatory (XSOSRT) in the East China Sea, which enables testing users acquire and process in situ data from their own sensors. The framework of XSOSRT is described containing four components achieving data transmission from situ sensors to testing users. Based on C/S architecture, XSOSRT is designed and developed using s...Show More

Design and Development of a Secondary Receiver Terminal for Xiaoqushan Seafloor Observatory in the East China Sea

Hui Chen;Rufu Qin;Huiping Xu

2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)

Year: 2017 | Conference Paper |

Implementation of the WebGIS of East China Sea seafloor observatory system

Jie Chen;Huiping Xu;Rufu Qin

OCEANS 2014 - TAIPEI

Year: 2014 | Conference Paper |

Cited by: Papers (1)

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With the deepening exploration of the ocean, the building of seafloor observatory systems has become a hot topic. It is also a key way for furthering advancement in the area of the International Marine Science in the 21st century. China's first experimental seafloor observatory system named Xiaoqushan Seafloor Observatory has already been set up and put into operation since April 20th, 2009. Meanw...Show More

Implementation of the WebGIS of East China Sea seafloor observatory system

Jie Chen;Huiping Xu;Rufu Qin

OCEANS 2014 - TAIPEI

Year: 2014 | Conference Paper |

Study on visualization of FVCOM model data based on the integration of GIS and FVCOM

Bolun Yuan;Rufu Qin;Liangzhao Lin;Zengdi Pan

2012 Oceans - Yeosu

Year: 2012 | Conference Paper |

Cited by: Papers (1)

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This paper focuses on that integration of ocean models and GIS, the main work that had been done is the data preprocessing and data diffusion between model results and GIS data format; as a result, a series of ways and methods were developed in the pre-processing part. Based on the ArcGIS platform, FVCOM results are visualized by the powerful visualization and data management's functionalities pro...Show More

Study on visualization of FVCOM model data based on the integration of GIS and FVCOM

Bolun Yuan;Rufu Qin;Liangzhao Lin;Zengdi Pan

2012 Oceans - Yeosu

Year: 2012 | Conference Paper |

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