Qi-Zhi Xu  (徐其志)

   

    Beijing Institute of Technology

    Email: qizhi@bit.edu.cn

    Office: 5 Zhongguancun South Street, Haidian District, Beijing, China

I am a professor in the School of Mechanical and Electrical Engineering of BIT (北京理工大学).

I was born in Jiangxi Province. In 2005, I got my B.S. degree from Jiangxi Normal University, Nanchang, China. In 2012, I received my Ph.D. degree from Beihang University. I was a Post-Doctoral Fellow with the University of New Brunswick, Fredericton, NB, Canada. My research interest is mainly focusing on image fusion, image understanding, and big data analysis of remote sensing.

 

Space Intelligent Computing Laboratory:

The main research directions include remote sensing image fusion, object detection, change detection and so on.

 

Publications (Selected):

  • UPanGAN: Unsupervised pansharpening based on the spectral and spatial loss constrained Generative Adversarial Network
    Qi-zhi Xu, Yuan Li*, Jinyan Nie, Qingjie Liu, Mengyao Guo
    Information Fusion, 2022
    [PDF]  [BibTeX] 
    @article{xu2023upangan,
  title={UPanGAN: Unsupervised pansharpening based on the spectral and spatial loss constrained Generative Adversarial Network},
  author={Xu, Qizhi and Li, Yuan and Nie, Jinyan and Liu, Qingjie and Guo, Mengyao},
  journal={Information Fusion},
  volume={91},
  pages={31--46},
  year={2023},
  publisher={Elsevier}
}

  • COCO-Net: A Dual-Supervised Network With Unified ROI-Loss for Low-Resolution Ship Detection From Optical Satellite Image Sequences
    Qi-zhi Xu, Yuan Li*, Mingjin Zhang, Wei Li
    IEEE Transactions on Geoscience and Remote Sensing, 2022
    [PDF]  [BibTeX] 
    @article{xu2022coco,
  title={COCO-Net: A Dual-Supervised Network With Unified ROI-Loss for Low-Resolution Ship Detection From Optical Satellite Image Sequences},
  author={Xu, Qizhi and Li, Yuan and Zhang, Mingjin and Li, Wei},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={60},
  pages={1--15},
  year={2022},
  publisher={IEEE}
}

  • LMO-YOLO: A Ship Detection Model for Low-Resolution Optical Satellite Imagery
    Qizhi Xu, Yuan Li, Zhenwei Shi
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
    [PDF]  [BibTeX] 
    @article{xu2022lmo,
  title={LMO-YOLO: A Ship Detection Model for Low-Resolution Optical Satellite Imagery},
  author={Xu, Qizhi and Li, Yuan and Shi, Zhenwei},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume={15},
  pages={4117--4131},
  year={2022},
  publisher={IEEE}
}

  • Unsupervised Hyperspectral Pansharpening by Ratio Estimation and Residual Attention Network
    Jinyan Nie, Qizhi Xu*,Junjun Pan
    IEEE Geoscience and Remote Sensing Letters, 2022
    [PDF]  [BibTeX] 
    @article{nie2022unsupervised,
  title={Unsupervised hyperspectral pansharpening by ratio estimation and residual attention network},
  author={Nie, Jinyan and Xu, Qizhi and Pan, Junjun},
  journal={IEEE Geoscience and Remote Sensing Letters},
  volume={19},
  pages={1--5},
  year={2022},
  publisher={IEEE}
}

  • A robust multimodal remote sensing image registration method and system using steerable filters with first-and second-order gradients
    Yuanxin Ye, Bai Zhu, Tengfeng Tang, Chao Yang, Qizhi Xu, Guo Zhang
    ISPRS Journal of Photogrammetry and Remote Sensing, 2022
    [PDF]  [BibTeX] 
    @article{ye2022robust,
  title={A robust multimodal remote sensing image registration method and system using steerable filters with first-and second-order gradients},
  author={Ye, Yuanxin and Zhu, Bai and Tang, Tengfeng and Yang, Chao and Xu, Qizhi and Zhang, Guo},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  volume={188},
  pages={331--350},
  year={2022},
  publisher={Elsevier}
}

  • An Unsupervised SAR and Optical Image Fusion Network Based on Structure-Texture Decomposition
    Yuanxin Ye, Wanchun Liu, Liang Zhou, Tao Peng, Qizhi Xu
    IEEE Geoscience and Remote Sensing Letters, 2022
    [PDF]  [BibTeX] 
    @article{ye2022unsupervised,
  title={An Unsupervised SAR and Optical Image Fusion Network Based on Structure-Texture Decomposition},
  author={Ye, Yuanxin and Liu, Wanchun and Zhou, Liang and Peng, Tao and Xu, Qizhi},
  journal={IEEE Geoscience and Remote Sensing Letters},
  volume={19},
  pages={1--5},
  year={2022},
  publisher={IEEE}
}

  • Automatic clustering-based two-branch CNN for hyperspectral image classification
    Yuan Li, Qizhi Xu*, Wei Li, Jinyan Nie
    IEEE Transactions on Geoscience and Remote Sensing, 2020
    [PDF]  [BibTeX] 
    @article{li2020automatic,
  title={Automatic clustering-based two-branch CNN for hyperspectral image classification},
  author={Li, Yuan and Xu, Qizhi and Li, Wei and Nie, Jinyan},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={59},
  number={9},
  pages={7803--7816},
  year={2020},
  publisher={IEEE}
}

  • PSGAN: A generative adversarial network for remote sensing image pan-sharpening
    Qingjie Liu, Huanyu Zhou, Qizhi Xu, Xiangyu Liu, Yunhong Wang
    IEEE Transactions on Geoscience and Remote Sensing, 2020
    [PDF]  [BibTeX] 
    @article{liu2020psgan,
  title={PSGAN: A generative adversarial network for remote sensing image pan-sharpening},
  author={Liu, Qingjie and Zhou, Huanyu and Xu, Qizhi and Liu, Xiangyu and Wang, Yunhong},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  volume={59},
  number={12},
  pages={10227--10242},
  year={2020},
  publisher={IEEE}
}

 

Academic Activities:

    Peer-Reviewer:

       IEEE TGRS, IEEE JSTARS, IEEE TNNLS, IEEE JSTSP, IEEE GRSL
       ISPRS Journal of Photogrammetry and Remote Sensing, Information Fusion, etc.