陈高
学术&专业学位硕士生导师
15913776856
chengao@dgut.edu.cn
电信工程与智能化学院

学科信息

个人简介

2016.10-2018.10   清华大学     信息与通信工程博士后流动站

2009.09-2016.07   西南交通大学 通信与信息系统         博士学位                      

2006.09-2009.07   厦门大学     控制理论与控制工程     硕士学位    

2002.09-2006.07   汕头大学     机械设计制造及其自动化 学士学位 


 

论文情况

1 Gao Chen, Gang Li, Yu Liu, Xiaoping Zhang, Li Zhang, “SAR Image Despeckling based on Combination of Fractional-order Total Variation and nonlocal low rank

regularization,” IEEE Transaction on Geoscience and Remote Sensing, vol.58, no.3, pp. 2056–2070, 2020. (SCI 一区TOP, IF: 5.855)

2 Gao Chen, Jiashu Zhang, Defang Li, Huaixin Chen. “Robust Kronecker Product Video Denoising Based on Fractional-Order Total Variation Model,” Signal

Processing, vol.119, pp.1-20, 2016 (SCI 二区,IF:4.384)

Gao Chen, Jiashu Zhang, Defang Li. “Fractional-Order Total Variation Combined with Sparsifying Transforms for Compressive Sensing Sparse Image Reconstruction,” Journal of Visual Communication and Image Representation, vol.38, pp.407-422, 2016.(SCI 三区,IF:2.259)

4 Gao Chen, Gang Li, Jiashu Zhang. “Tensor Compressed Video Sensing Reconstruction by Combination of Fractional-Order Total Variation and Sparsifying

Transform.” Signal Processing: Image Communication, vol. 55,pp.146-156, 2017(SCI 三区,IF: 2.814)

5 Gao Chen, Gang Li, Yu Liu, Xiaoping Zhang, Li Zhang. “SAR Image Despeckling by Combination of Fractional-order Total Variation and nonlocal low rank

regularization,” In Proceedings of IEEE International Conference on Image Processing (ICIP), 2017: 3210-3214 (EI)

6 Gao Chen, Gang Li. “Joint of Discrete Curvelet Transform and Nonlocal Tensor Sparse Regularization for SAR Image Despeckling,” In Proceedings of The IEEE

International Conference on Imaging Systems and Techniques(IST), 2017:1-6 (EI)

7 Gao Chen, G. Li*, X-P. Zhang, Q.F. Zhou, C.X. Qu, “Tensor Based Analysis Dictionary Learning for Color Video Denoising,” 2019 IEEE International Conference on Signal, Information and Data Processing, Chongqing, P.R. China, 2019.12.11-12.13

8 Yuting. Zhu,Z. L. Liang,J.W. Yan,Gao. Chen*,X. Q. Wang*, “E-D-Net: Automatic Building Extraction From High-Resolution Aerial Images With Boundary

Information”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,vol.14, pp. 4595 - 4606, 2021. (SCI 二区, IF: 3.827)


 

主讲课程

1:机器视觉

2:数字图像处理

3:MATLAB与应用

4:概率论与数理统计

5:复变函数与积分变换

6:高频电子线路

 

科研项目

2018/01-2022/12 稀疏条件下基于天空基协同感知的海洋目标检测(国家自然科学基金重大项目,主要承担者)

2018/01-2020/12 面向地质灾害救援的天空基协同智能监测技术(民用航天十三五预研项目)

2020/07-2022/12 多源异构图像融合与变化检测技术(清华大学高技术实验室横向课题项目)

2019/01-2022/12 多源异质遥感影像变换检测算法研究(东莞理工学院引进人才科研启动专项项目)


 

1 王翠瑜,2021年6月毕业,发表EI国际会议论文1篇,申请发明专利1项,入职Thoughtwork。

2  陈淮源,2022年6月毕业,发表中文核心论文1篇,申请发明专利1项,入职荣耀

 

研究方向

深度学习,目标检测,图像处理