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Dong Fu

Biographic Data

ID7992109
NAMEDong Fu
GIVEN NAMESDong
FAMILY NAMEFu
SIGNATUREFU D
AFFILIATIONSChinese Academy of Sciences
ORCID0000-0002-6715-1896
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Significant advancement in subseasonal-to-seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-Unet method

    Open Access•Yang Lyu, Shoupeng Zhu et al.•ARTICLE•Environmental Research Letters•2024

    Reliable Subseasonal-to-Seasonal (S2S) forecasts of precipitation are critical for disaster prevention and mitigation. In this study, an innovative hybrid method CSG-UNET combining the UNET with the censored and shifted gamma distribution based ensemble model output statistic (CSG-EMOS), is proposed to calibrate the ensemble precipitation forecasts from ECMWF over the China mainland during boreal summer. Additional atmospheric variable forecasts …

  • Vins-Dimc

    Open Access•Dong Fu, Hao Xia et al.•ARTICLE•ISPRS International Journal of…•2022

    Most visual–inertial navigation systems (VINSs) suffer from moving objects and achieve poor positioning accuracy in dynamic environments. Therefore, to improve the positioning accuracy of VINS in dynamic environments, a monocular visual–inertial navigation system, VINS-dimc, is proposed. This system integrates various constraints on the elimination of dynamic feature points, which helps to improve the positioning accuracy of VINSs in dynamic envi…

  • Visual Positioning in Indoor Environments Using RGB-D Images and Improved Vector of Local Aggregated Descriptors

    Open Access•Longyu Zhang, Hao Xia et al.•ARTICLE•ISPRS International Journal of…•2021

    Positioning information has become one of the most important information for processing and displaying on smart mobile devices. In this paper, we propose a visual positioning method using RGB-D image on smart mobile devices. Firstly, the pose of each image in the training set is calculated through feature extraction and description, image registration, and pose map optimization. Then, in the image retrieval stage, the training set and the query s…

No prominent works on this page.

  • Visual Positioning in Indoor Environments Using RGB-D Images and Improved Vector of Local Aggregated Descriptors

    Open Access•Longyu Zhang, Hao Xia et al.•ARTICLE•ISPRS International Journal of…•2021

    Positioning information has become one of the most important information for processing and displaying on smart mobile devices. In this paper, we propose a visual positioning method using RGB-D image on smart mobile devices. Firstly, the pose of each image in the training set is calculated through feature extraction and description, image registration, and pose map optimization. Then, in the image retrieval stage, the training set and the query s…

  • Vins-Dimc

    Open Access•Dong Fu, Hao Xia et al.•ARTICLE•ISPRS International Journal of…•2022

    Most visual–inertial navigation systems (VINSs) suffer from moving objects and achieve poor positioning accuracy in dynamic environments. Therefore, to improve the positioning accuracy of VINS in dynamic environments, a monocular visual–inertial navigation system, VINS-dimc, is proposed. This system integrates various constraints on the elimination of dynamic feature points, which helps to improve the positioning accuracy of VINSs in dynamic envi…

  • Significant advancement in subseasonal-to-seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-Unet method

    Open Access•Yang Lyu, Shoupeng Zhu et al.•ARTICLE•Environmental Research Letters•2024

    Reliable Subseasonal-to-Seasonal (S2S) forecasts of precipitation are critical for disaster prevention and mitigation. In this study, an innovative hybrid method CSG-UNET combining the UNET with the censored and shifted gamma distribution based ensemble model output statistic (CSG-EMOS), is proposed to calibrate the ensemble precipitation forecasts from ECMWF over the China mainland during boreal summer. Additional atmospheric variable forecasts …

Artificial Intelligence (2 works) · Computer Science (2 works) · Computer vision (2 works) · Mathematics (2 works) · Robotics and Sensor-Based Localization (2 works) · 3D Surveying and Cultural Heritage (1 work) · Advanced Image and Video Retrieval Techniques (1 work) · Advanced Vision and Imaging (1 work) · Arctic and Antarctic ice dynamics (1 work) · China (1 work)

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