陳高 博士,講師 辦公室:9A411 Email:chengao@dgut.edu.cn |
一、教育背景
2002.09-2006.07 汕頭大學,機械設計及其自動化專業,本科畢業
2006.09-2009.06 廈門大學,控制理論與控制工程專業,碩士畢業
2009.09-2016.06 西南交通大學,通信與信息系統專業,博士畢業
二、工作經曆
2016.10-2018.10 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
無
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),2020,20萬
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,2019,22萬
(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 Sensing,vol.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,IF:4.384)
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,IF:4.384)
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, 2017(SCI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. Zhu,Z. L. Liang,J.W. Yan,G. 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. 2020第15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. 2020第15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.1002-8331.2101-0019,2021.(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,IF:5.91)
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,IF:4.384)
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