个人简介

张俊超，男，1991年12月出生，河南周口人。2019年6月毕业于中国科学院沈阳自动化研究所模式识别与智能系统专业，获工学博士学位, 导师是罗海波研究员。曾获国家奖学金、中国科学院院长优秀奖、中国科学院沈阳自动化研究所创新2020冠名奖等。2017.10-2018.10国家公派(CSC)访学James C. Wyant College of Optical Sciences, The University of Arizona (美国三大光学中心之一), 师从Rongguang Liang教授(https://wp.optics.arizona.edu/ualiangaol/)。主要从事偏振成像技术、光电信息处理、图像处理、模式识别和机器学习等方面的研究。以第一作者身份发表SCI论文10篇，其中JCR1区8篇，包括Optics Letters、Optics Express、Applied Optics和ISA Transactions等国际知名期刊，申请美国发明专利1项。受邀担任IEEE Transactions on Image Processing(TIP)、Optics Letters、Optics Express、Biomedical Optics Express、IEEE Transactions on Instrumentation and Measurement(TIM)、Applied Optics、Infrared Physics and Technology等SCI期刊的审稿人。中国光学工程学会会员。 主讲课程：《数字图像处理》、《模式识别》 教育经历 [1] 2014.9-2019.6 中国科学院大学(中国科学院沈阳自动化研究所) | 模式识别与智能系统 | 博士学位 | 博士研究生毕业 [2] 2017.10-2018.10 The University of Arizona | Optical Engineering 联合培养博士研究生 [3] 2014.9-2015.7 中国科学技术大学 | 模式识别与智能系统 研究生教育 [4] 2010.9-2014.6 河海大学 | 机械工程及自动化 | 学士学位 | 大学本科毕业 工作经历 [1] 2019.9-至今 中南大学 | 航空航天学院 | 讲师

研究领域

[1] 基于深度学习的图像融合技术 [2] 基于稀疏编码理论的图像处理技术 研究内容：图像去噪、超分辨重建等复原技术 [3] 分焦平面偏振成像技术 研究内容：分焦平面偏振图像非均匀性校正、图像去噪和图像插值。 [4] 光纤成像超分辨重建 研究内容：基于卷积神经网络的光纤图像超分辨重建技术 [5] 足球机器人视觉系统 研究内容：机器人识别、定位与跟踪技术

一、分焦平面偏振成像技术(Polarization Imaging Technology for Division-of-focal-plane polarimeter) (1) 分焦平面偏振图像非均匀性校正 针对分焦平面偏振成像系统，像元的非线性响应、微偏振片调制的非一致性及像元间的串扰相互耦合，导致分焦平面偏振图像存在非均匀性(或固定模式)噪声，我们提出了一种基于标定的非均匀性校正算法。 (2) 分焦平面偏振图像插值 如下图所示，分焦平面偏振图像插值(或去马赛克)问题是指：分焦平面偏振相机获得的马赛克图像为Im，利用插值或去马赛克算法获得4幅全分辨率的图像，最后根据Stokes矢量、DoLP和AoP的计算公式重构偏振信息。我们提出了基于插值、基于稀疏编码和PDCNN的插值算法。 (3) 分焦平面偏振图像去噪 二、相位解包(Phase Unwrapping) 三、光纤束超分辨成像(Fiber Bundle Image Super-resolution)

近期论文

查看导师新发文章 （温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Junchao Zhang, Yuanyuan Sun, Jianlai Chen, Degui Yang, and Rongguang Liang. Deep-learning-based hyperspectral recovery from a single RGB Image [J]. Optics Letters, 2020, 45(20), 5676-5679. 2. Junchao Zhang. Weighted-encoding-based image interpolation with nonlocal linear regression model [J]. Applied Optics, 2020, 59(28): 8588-8594. 3. Junchao Zhang, Jianbo Shao, Jianlai Chen, Degui Yang, Buge Liang, and Rongguang Liang. PFNet: An unsupervised deep network for polarization image fusion [J]. Optics Letters, 2020, 45(6): 1507-1510. 4. Jianlai Chen, Mengdao Xing, Xianggen Xia, Junchao Zhang (通讯作者), Buge Liang, Degui Yang. SVD-Based Ambiguity Function Analysis for Nonlinear Trajectory SAR. IEEE Transactions on Geoscience and Remote Sensing, 2020. 5. Jianlai Chen, Buge Liang, Junchao Zhang (通讯作者), Degui Yang, Yuhui Deng, Mengdao Xing. Efficiency and Robustness Improvement of Airborne SAR Motion Compensation With High Resolution and Wide Swath. IEEE Geoscience and Remote Sensing Letters, 2020. 6. Junchao Zhang, Xiaobo Tian, Jianbo Shao, Haibo Luo, and Rongguang Liang. Phase unwrapping in optical metrology via denoised and convolutional segmentation networks[J]. Optics Express, 2019, 27(10): 14903-14912. 7. Junchao Zhang, Haibo Luo, Bin Hui, and Zheng Chang. Unknown noise removal via sparse representation model[J]. ISA Transactions, 2019, 94:135-143. 8. Junchao Zhang, Jianbo Shao, Haibo Luo, Xiangyue Zhang, Bin Hui, Zheng Chang, and Rongguang Liang. Learning a convolutional demosaicing network for microgrid polarimeter imagery[J]. Optics Letters, 2018, 43(18): 4534-4537. 9. Junchao Zhang, Haibo Luo, Rongguang Liang, Ashfaq Ahmed, Xiangyue Zhang, Bin Hui, and Zheng Chang. Sparse representation-based demosaicing method for microgrid polarimeter imagery[J]. Optics Letters, 2018, 43(14): 3265-3268. 10. Junchao Zhang, Haibo Luo, Rongguang Liang, Wei Zhou, Bin Hui, and Zheng Chang. PCA-based denoising method for division of focal plane polarimeters[J]. Optics Express, 2017, 25(3): 2391-2400. 11. Junchao Zhang, Haibo Luo, Bin Hui, and Zheng Chang. Image interpolation for division of focal plane polarimeters with intensity correlation[J]. Optics Express, 2016, 24(18): 20799-20807. 12. Junchao Zhang, Haibo Luo, Bin Hui, and Zheng Chang. Non-uniformity correction for division of focal plane polarimeters with a calibration method[J]. Applied Optics, 2016, 55(26): 7236-7240. 13. Jianbo Shao, Junchao Zhang, Xiao Huang, Kobus Barnard, and Rongguang Liang. Fiber bundle image restoration using deep learning[J]. Optics Letters, 2019, 44(5): 1080-1083. (Editors' Pick Paper) 14. Jianbo Shao, Junchao Zhang, Xiao Huang, Kobus Barnard, and Rongguang Liang. Fiber bundle imaging resolution enhancement using deep learning[J]. Optics Express, 2019, 27(11): 15880-15890. 15. Xiaobo Tian, Xingzhou Tu, Junchao Zhang, Oliver Spires, Neal Brock, Stanley Pau, and Rongguang Liang. Snapshot multi-wavelength interference microscope[J]. Optics Express, 2018, 26(14): 18279-18291. 16. Ashfaq Ahmed, Xiaojin Zhao, Viktor Gruev, Junchao Zhang, and Amine Bermak. Residual interpolation for division of focal plane polarization image sensors[J]. Optics Express, 2017, 25(9): 10651-10662. 17. Xiangyue Zhang, Qinghai Ding, Haibo Luo, Bin Hui, Zheng Chang, and Junchao Zhang. Infrared small target detection based on directional zero-crossing measure[J]. Infrared Physics & Technology, 2017, 87: 113-123. 18. Xiangyue Zhang, Qinghai Ding, Haibo Luo, Bin Hui, Zheng Chang, and Junchao Zhang. Infrared small target detection based on image-patch tensor model[J]. Infrared Physics & Technology, 2019. 19. Bin Feng, Zelin Shi, Haizheng Liu, Li Liu, Yaohong Zhao, and Junchao Zhang. Polarized-pixel performance model for DoFP polarimeter[J]. Journal of Optics, 2018, 20(6): 065703. 20. 张祥越, 丁庆海, 罗海波, 惠斌, 常铮, 张俊超. 基于改进 LCM 的红外小目标检测算法[J]. 红外与激光工程, 2017, 46(7): 270-276.

学术兼职

[1] 受邀担任IEEE Transactions on Image Processing(TIP)、Optics Letters、Optics Express、Biomedical Optics Express、IEEE Transactions on Instrumentation and Measurement(TIM)、Applied Optics、Infrared Physics and Technology等SCI期刊的审稿人。