返回列表 發布時間:2021-06-10

陳高

          

      

陳高


博士,講師


辦公室:9A411


Email:chengao@dgut.edu.cn

  

一、教育背景

2002.092006.07  汕頭大學,機械設計及其自動化專業,本科畢業

2006.092009.06  廈門大學,控制理論與控制工程專業,碩士畢業

2009.092016.06  西南交通大學,通信與信息系統專業,博士畢業

 

二、工作經曆

2016.102018.10  清華大學電子工程系,博士後

2018.06-至今    東莞理工學院電子工程與智能化學院,講師

 

三、澳门金莎

主要講授的課程有:概率論與數理統計、複變函數與積分變換、高頻電子線路、數字圖像處理、機器視覺、MATLAB與應用

 

四、主持的教學研究項目

 

五、澳门金莎

主要從事壓縮感知與圖像恢複, 遙感圖像處理與識别, 稀疏信号處理等方面的研究

 

(一)主持的研究項目

1.多源異構圖像融合與變化檢測技術,清華大學(高技術實驗室),202020

2多源異質遙感影像變換檢測算法研究,東莞理工學院引進人才科研啟動專項經費,201922

 

(二)發表的學術論文和著作

1. G. Chen, G. Li*, Y. Liu, X. P. Zhang, L. Zhang, “SAR Image Despeckling Based on Combination of Fractional-order Total Variation and Nonlocal Low Rank Regularization,” IEEE Transactions on Geoscience and Remote Sensingvol.58, no. 3, pp. 2056–2070, 2020. (SCI一區TOP, IF: 5.855)

2. G. Chen, G. Li*, Y. Liu, X. P. Zhang, L. Zhang, “SAR Image Despeckling by Combination of Fractional-order Total Variation and Nonlocal Low Rank Regularization,” IEEE International Conference on Image Processing ICIP 2017, Beijing, P.R. China, 2017.9.17-9.20 EI

3. G. Chen, J. S. Zhang*, D. F. Li, H. X. Chen, “Robust Kronecker Product Video Denoising Based on Fractional-Order Total Variation Model,” Signal Processing, ,vol.119, pp.1-20, 2016 SCI二區,IF4.384

4. G. Chen, D. F. Li, J. S. Zhang*, “Iterative Gradient Projection Algorithm for Two-dimensional Compressive Sensing Sparse Image Reconstruction,” Signal Processing, vol.104, pp.15-26, 2014.SCI二區,IF4.384

5. G. Chen, J. S. Zhang*, D. F. 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三區,IF:2.259

6. G. Chen, G. Li*, J. S. 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, 2017SCI三區,IF: 2.814

7. G. 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. G. Chen, G. Li*, “Joint of Discrete Curvelet Transform and Nonlocal Tensor Sparse Regularization for SAR Image Despeckling (IST 2017),” IEEE International Conference on Imaging Systems and Techniques, Beijing, P.R. China, 2017.10.18-10.20. EI

9. Y. T. ZhuZ. L. LiangJ.W. YanG. 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 Sensingvol.14, pp. 4595 - 4606, 2021. (SCI二區, IF: 3.827)

10. C. Y. Wang, G. Chen*, K.H. Zhang, Q.F. Zhou, “Cross-Modal Image Matching Based on Coupled Convolutional Sparse Coding and Feature Space Learning”, 2020 IEEE 5th International Conference on Signal and Image Processing, Nan Jing, P.R. China, 2020.10.23-10.25. EI

11. 朱宇霆, 陳高*, 吳可兒, 闫敬文. 基于 YOLO 算法的高速高精度 SAR 艦船檢測. 202015屆雷達學術年會

12. 卓文浩,方偉偉,陳高*,闫敬文. 基于自适應阈值網絡的遙感道路提取方法. 202015屆雷達學術年會

13. L. Yang, G. Chen, G. Li*. “Classification of Personnel Targets with Baggage Using Dual-band Radar,” Remote Sensing, 2017, 9(6): 594(SCI二區,IF: 4.509)

14. 陳淮源, 張廣馳, 陳高, 周清峰. 基于深度學習的圖像風格遷移研究進展,計算機工程與應用doi:10.3778/j.issn.1002-8331.2101-00192021.(中文核心)

15. Q. Jiang, X. Jin*, G. Chen, S. Y. Lee, X. H. Cui,  S. W. Yao, L. W. Wu, “Two-Scale Decomposition-Based Multifocus Image Fusion Framework Combined With Image Morphology and Fuzzy Set Theory,” Information Sciences, vol.541, pp.442-474, 2020.SCI二區,IF5.91

16. X. Jin, G. Chen, J. Y. Hou*, Q. Jiang, D. M. Zhou, S. W. Yao, “Multimodal Sensor Medical Image Fusion Based on Nonsubsampled Shearlet Transform and S-PCNNs in HSV Space,” Signal Processing, vol.153, pp.379-395, 2018.SCI二區,IF4.384

 

 

六、獲獎與榮譽

1. 電子工程與智能化學院教師教學技能競賽優秀獎,電子工程與智能化學院,2019

2. 東莞理工學院優秀教師,東莞理工學院,2020

 

 

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