姓名：杨斌
职称：教授
学位：博士研究生
籍贯：河南平顶山
研究方向：图像处理，模式识别，深度学习
联系电话：
Email:yangbin01420@163.com



个人简介
杨斌，男，教授，博士研究生，博士/硕士研究生导师、湖南省青年骨干教师、南华大学青年英才支持计划获得者，湖南省优秀博士学位论文获得者，本科毕业于郑州轻工业大学自动化专业，硕士和博士毕业于湖南大学控制科学与工程专业。一直从事图像处理、模式识别、图像信息融合、稀疏表示理论、多尺度几何分析、视觉神经计算机理及网络模型研究等方向的研究，主持国家自然科学基金面上项目1项，主持完成国家自然科学基金青年基金1项，主持湖南省自然科学基金和湖南省教育厅优秀青年项目各1项，主持完成湖南省教育厅项目2项，主持湖南省教育教改项目1项，参与国家自然科学基金2项，获国家自然科学二等奖1项、湖南省自然科学一等奖1项，湖南省科技进步二等奖1项，在IEEE Transactions on Instrumentation and Measurement, Information Fusion, Information Processing Letters等国际著名期刊和会议上发表高档次科研论文40余篇，发明专利2项。
科研教研项目
1.国家自然科学基金面上项目（**）：基于卷积神经网络的图像融合及质量提升理论研究, 2019.01-2022.12, 63万，在研，主持
2. 湖南省普通高等学校教学改革研究项目（2017SJG15），新工科背景下电子信息工程专业OBE人才培养模式探索与研究，2017，2018,1万，主持
3.湖南教育厅优秀青年基金项目（16B225）：基于中高层图像特征指导的红外与可见光图像融合理论研究，2016.09-2019.12，3万，主持
4.湖南自然科学基金项目（2016JJ3106）：面向图像融合的多输入卷积神经网络理论及应用研究，2016.01-2018.12，5万，主持
5.南华大学青年英才支持计划（聘字2014-004号），图像压缩传感理论及其应用研究，2014.09-2017.08，45万，主持
6.国家自然科学基金项目（**）：压缩传感域图像融合新方法研究, 2012.01-2014.12, 25万，已结题，主持
7.湖南省教育厅级科研项目（11C1101）：基于压缩传感理论的多传感器图像融合理论研究，2012.01-2013.12，1万，已结题，主持
8.南华大学校内博士启动基金（2011XQD29）：面向压缩感知的多传感器图像融合理论研究（2012.01-2014.12, 10万），主持
9.湖南省优秀博士学位论文资助项目（YB2013B039）：基于压缩感知的图像恢复理论及其在辐射环境下的应用，2013.01-2015.12，3万，主持
10.国家自然科学基金理论物理专项（**）：基于解离通道调控的强激光场中双原子分子非绝热解离机制研究，2013.1-2013.12, 5万，已结题，参与排名第三
11.湖南省教育厅重点科研项目（12A115）：基于信息融合的多视觉传感抗辐射加固技术研究，2012.1-2015.12, 5万，已结题，参与排名第二
12.参与国家自然科学基金(**)：像素级多传感器图像融合关键问题研究, 2009.1-2011.12. 35万，已结题，参与排名第二
13.国家自然科学基金青年基金（**）：基于量子通道调控的强激光场中双原子分子Autler-Townes分裂特性研究，2018.1-2020.12, 22万，已结题，参与排名第三
14.湖南省自然科学基金：基于通道选控的强场中小分子非绝热光解机制研究(No.2015JJ3104, 201501-201712, 4万，已结题，参与排名第四
科研论文
1. BinYang,YuhanSun,Yuehua Li, Image fusion with structural saliency measure and content adaptive consistency verification, Journal of Electronic Imaging, JAN2020, 29(1): 013014 (1-17).
2. Qiang Chen; Bin Yang ; Yuehua Li; Lihui Pang, Multi-Focus Image Fusion With Point Detection Filter and Superpixel-Based Consistency Verification, IEEE Access, Volume: 8, Issue:1, 99956-99973, 25 May 2020.
3. Bin Yang, Dongsheng Wang, An Efficient Adaptive Interpolation for Bayer CFA Demosaicking, Sensing and Imaging, 2019, 20: 37(1-17).
4.杨斌，王翔，基于深度残差去噪网络的遥感融合图像质量提升,激光与光电子学进展，2019, 56(16): 161009(1-10)
5. Yuhan Sun and Bin Yang, Infrared and Visible Images Fusion with Multi-Visual Cues, Sensing and Imaging, 2018, vol 19, no.1.
6.钟菲，杨斌，基于主成分分析网络的车牌检测方法，计算机科学[J]. 2018, 45(3), 295-300.
7.钟菲,杨斌,一种新型的基于深度学习的单幅图像去雨方法,计算机科学[J]. 2018, 45(11): 283-287
8. Xiang Wang and Bin Yang, Boosting the Quality of Pansharpened Image by Adjusted Anchored Neighborhood Regression, in the Proceedings Part I of First Chinese Conference on Pattern Recognition and Computer Vision, Nov 2018, Guangzhou China, pp. 286-295.
9. Bin Yang, Jinying Zhong, Yuehua Li and Zhongze Chen, Multi-focus Image Fusion and Super-resolution with Convolutional Neural Network, International Journal of Wavelets, Multiresolution and Information Processing, 2017，15(4): ** (15pages)
10. Jinying Zhong, Bin Yang*, Guoyu Huang, Fei Zhong, and Zhongze Chen. Remote sensing image fusion with convolutional neural network, Sensing and Imaging, 2016, 17(1)1-16.
11. Bin Yang, Chao Yang, Guoyu Huang, Efficient image fusion with approximate sparse representation, International Journal of Wavelets, Multiresolution and Information Processing, (2016) , Vol. 14, No. 4, pp. ** (15 pages).
12. Bin Yang, Jie Luo, Ling Guo, Fang Cheng, Simultaneous image fusion and demosaicing via compressive sensing, Information Processing Letters，Volume 116, Issue 7, July 2016, Pages 447–454.
13.杨超，杨斌，*黄国玉，基于多光谱图像超分辨率处理的遥感图像融合，激光与光电子学进展，2016年第53卷第2期pp.021001.
14.杨斌，钟金英，卷积神经网络的研究进展综述，南华大学学报，Sep. 2016，第30卷第3期pp.66-72.
15. Jinying Zhong, Bin Yang*, Yuehua Li, Fei Zhong and Zhongze Chen,Image Fusion and Super-resolution with Convolutional Neural Network, 2016，CCPR Part II, CCIS 663, Pages 78-88.
16. Bin Yang, Ling Guo, Superpixel based fusion and demosaicing for multi-focus Bayer images, Optik - International Journal for Light and Electron Optics, Volume 126, Issue 23, December 2015, Pages 4460-4468.
17. Bin Yang, Jibin Chen, Multi-focus Raw Bayer Pattern Image Fusion for Single-Chip Camera, Sensing and Imaging, January 2015, 16(3)
18. Ling Guo, Bin Yang, Chao Yang, Joint Multi-focus Fusion and Bayer Image Restoration, Scientific Journal of Information Engineering, June 2015, 5(3):67-72.
19.郭玲，杨斌，基于视觉显著性的红外与可见光图像融合，计算机科学，June 2015, 42 (6A), 211-214.
20. Bin Yang, Shutao Li, Visual attention guided image fusion with sparse representation, Optik-International Journal for Light and Electron Optics, Volume 125, Issue 17, September 2014, Pages 4881-4888.
21. Fang Cheng, Bin Yang, and Zhiwei Huang, Compressive Sensing Multi-focus Image Fusion, Communications in Computer and Information Science, 484, 107-116.
22. Chao Yang, Bin Yang*, Efficient Compressive Multi-focus Image Fusion, Journal of Computer and Communications, 2014, 2(9):78-86.
23. Shutao Li, Xudong Kang, Jianwen Hu, Bin Yang, Image Matting for Fusion of Multi-focus Images in Dynamic Scenes, Information Fusion, 2013, 14(2):147–162.
24.杨斌,罗颉,基于压缩传感理论的彩色图像去马赛克,南华大学学报（自然科学版）,第27卷,第2期,页码: 32-36, 2013年6月.
25. Bin Yang, Shutao Li, Pixel-level Image Fusion with Simultaneous Orthogonal Matching Pursuit, Information Fusion, 2012, 13(1): 10-19.
26. Bin Yang, Shutao Li, Multi-focus Image Fusion using Watershed Transform and Morphological Wavelet Clarity Measure, International Journal of Innovative Computing, Information and Control, 2011, 7(5A):2503-2514.
27. Shutao Li, Bin Yang, A New Pan-sharpening Method using Compressed Sensing Technique, IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(2): 738-746.
28. Shutao Li, Bin Yang, Jianwen Hu, Performance Comparison of Different Multi-resolution Transforms for Image Fusion, Information Fusion, 2011, 12(2): 74-84.
29. Bin Yang, Shutao Li, Multi-focus Image Fusion and Restoration with Sparse Representation, IEEE Transactions on Instrumentation and Measurement, 2010, 59(4): 884-892.
30. Shutao Li, Bin Yang, Hybrid Multiresolution Method for Multisensor Multimodal Image Fusion, IEEE Sensor Journal, 2010, 10 (9): 1519-1526.
31. Bin Yang, Shutao Li, Texture Classification with Combined Multiresolution Features, Machine Graphics & Vision, 2009, 18(3): 305-319.
32. Shutao Li, Bin Yang, Region based Multi-Focus Image Fusion, in Tania Stathaki, "Image Fusion: Algorithms and Applications", Elsevier, 2008, 343-365.
33. Shutao Li, Bin Yang, Multifocus Image Fusion using Region Segmentation and Spatial Frequency, Image and Vision Computing, 2008, 26(7):971-979.
34. Shutao Li, Bin Yang, Multifocus Image Fusion by Combining Curvelet and Wavelet Transform, Pattern Recognition Letters, 2008, 29(9): 1295-1301.
35. Bin Yang, Shutao Li, Multi-Focus Image Fusion Based on Spatial Frequency and Morphological Operators, Chinese Optics Letters, 2007, 5(8): 452-453.
36. Bin Yang, Luo Jie, and Shutao Li, Color Image Fusion with Extend Joint Sparse Model, in Proceedings of International Conference on Pattern Recognition, November 11-15, 2012, Tsukuba, Japan.
37. Jie Luo, Bin Yang, and Shutao Li, Color Image Restoration Via Extended Joint Sparse Model. in Proceedings of Chinese Conference on Pattern Recognition, September 24-26, 2012, Beijing, China, pp. 497-504.
38. Junli Tao, Shutao Li，Bin Yang，Multimodal Image Fusion Algorithm Using Dual-Tree Complex Wavelet Transform and Particle Swarm Optimization, in Proceedings of the Sixth International Conference on Intelligent Computing, August 18-21, 2010, Changsha, China, pp. 296-303.
39.胡建文,李树涛,杨斌,基于IHS变换和稀疏表示的遥感图像融合, Proceedings of the Chinese Conference on Pattern Recognition, 21-23 October 2010, Chongqing, China, pp. 494-497.
40. Bin Yang, Fengmei Sun, Shutao Li, Region-Based Color Fusion Method for Visible and IR Image Sequences, in Proceedings of the Chinese Conference on Pattern Recognition, October 22-24, 2008, Beijing, China, pp. 132-137.
41. Shutao Li, Xinmin Fu, Bin Yang, Nonsubsampled Contourlet Transform for Texture Classifications using Support Vector Machines, in Proceedings of the IEEE International Conference on Networking, Sensing and Control, April 6-8 2008, Hainan, China, pp.1654-1657.
42. Bin Yang, Shutao Li, Multifocus Image Fusion using Watershed Segmentation and Morphological Wavelet Transform, in Proceedings of the International Colloquium on Information Fusion, August 22-25, 2007, Xi’an, China, pp.317-321.
43. Bin Yang, Shutao Li, Fengmei Sun, Image Fusion Using Nonsubsampled Contourlet Transform, in Proceedings of the Fourth International Conference on Image and Graphics, August 22-24 2007, Chengdu, China, pp.719 – 724.
44. Fengmei Sun, Shutao Li, Bin Yang, A New Color Image Fusion Method for Visible and Infrared Images, in Proceedings of the IEEE International Conference on Robotics and Biomimetics, December 16-18 2007, Sanya, China, pp.2043-2048.
发明专利
1.抗辐射的视频图像系统及方法,专利号：ZL7.5，发明人：杨斌，赵立宏，邓骞，郭玲
2.同步多聚焦Bayer视频图像处理系统及方法，专利号：ZL3.4，发明人：杨斌、赵立宏、邓骞、郭玲
3.基于混合多分辨率分解的图像融合方法，发明号：ZL 6.7,发明人：李树涛，杨斌
4.基于同步正交匹配追踪的多源图像融合方法，发明号：ZL 7.1，发明人：李树涛，杨斌

获奖
1. 国家自然科学二等奖，多模图像结构化稀疏表示与融合理论方法研究，证书号：2019-Z1-107-2-04-R04（排名第四）
2. 湖南省自然科学一等奖，图像结构化稀疏表示、融合与识别理论方法研究，证书号：**-Z1-211-R04，第4完成人
3. 湖南省优秀博士学位论文奖，像素级多传感器图像新方法研究, 2013年6月，证书编号：**，第1完成人
4. 湖南省科技进步二等奖，高速公路智能交通检测系统关键技术研究及应用，证书号：**-J2-027-R06, 第6完成人。