张俊超

副教授 博士生导师 硕士生导师

入职时间：2019-09-05

所在单位：自动化学院

学历：博士研究生毕业

办公地点：中南大学本部升华后楼314室

性别：男

学位：博士学位

在职信息：在职

毕业院校：中国科学院沈阳自动化研究所

学科：控制科学与工程

曾获荣誉：

2024-10-20  当选：  中国光学工程学会自然科学二等奖

2024-06-20  当选：  第四届湖南省普通高校教师教学创新大赛一等奖

2023-12-20  当选：  湖南省自然科学优秀学术论文二等奖

2023-03-20  当选：  第六届全国高等学校电子信息类专业青年教师授课竞赛一等奖

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论文成果

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Code下载链接：https://github.com/Junchao2018 


报告

· Presentations

      ·第十届国际新型光电探测技术及其应用学术交流会（2024），分焦平面偏振超分辨成像及应用，11月1号-11月3号（特邀报告）

      ·第二届光学工程前沿交叉科学大会（2024），彩色分焦平面偏振成像技术及其在微光场景应用探索，5月24号-5月26号（特邀报告）

      ·第五届红外技术及其应用大会（IR2024），彩色分焦平面偏振成像及目标检测技术，5月31号-6月2号（特邀报告）

      ·第四届红外技术及其应用大会（IR2023），分焦平面偏振超分辨成像与融合技术，6月10号-6月12号（特邀报告）

      ·2022世界光子大会，基于单张RGB图像和非监督学习的高光谱图像复原方法，12月18号-12月19号（特邀报告）

      ·第二届国际计算成像会议（CITA2022），分焦平面偏振超分辨成像，10月10号-10月12号（特邀报告）

      ·2022年全国光电技术与系统学术会议（OETS2022），基于深度学习的高光谱图像复原方法，12月3号-12月4号（口头报告）

· Seminars

      ·华中科技大学“天文光学与空间光学”学术前沿青年团队论坛，分焦平面偏振超分辨成像，11月5号（2022）

      ·国防科技大学，基于深度学习的高光谱图像复原方法，11月12号（2022）



论文

·2024

  1. 1. Yidong Luo, Junchao Zhang*, Jianbo Shao, Jiandong Tian and Jiayi Ma. Learning a Non-Locally Regularized Convolutional Sparse Representation for Joint Chromatic and Polarimetric Demosaicking[J]. IEEE Transactions on Image Processing, 2024, 33: 5029-5044. (The running speed of SR is accelerated by almost 40 times.)

  2. 2. Ying Liu, Junchao Zhang*. Multi-scale Perception Enhancement of Structural Patch Decomposition and Fusion for Low Light Imaging[J]. Optics and Laser Technology, 2024. (Accepted)

  3. 3. 张俊超, 黄俊彬, 杨德贵,梁步阁, 陈溅来,  赵党军. 极端曝光图像的多尺度分解细节感知融合算法[J]. 国防科技大学学报, 2024, 46(2): 162-173. (指导本科生黄俊彬发表论文)  

  4. 4. Wei Shi, Mingliang Chen, and Junchao Zhang*. Dim and Small Target Detection Method via Gradient Features guided Local Contrast[J]. IEEE Journal on Miniaturization for Air and Space Systems, 2024, 5(1): 27-32. 

  5. 5. Bin Feng, Jinpei Xiao, Junchao Zhang*, et al. Color-polarization synergistic target detection method considering shadow interference[J]. Defence Technology, 2024, 37:50-61.

  6. 6. Yang Lu, Weihong Ren, Yiming Su, Zhen Zhang, Junchao Zhang, and Jiandong Tian. Polarization image demosaicking based on homogeneity space[J]. Optics and Lasers in Engineering, 2024, 178: 108179. 

  7. 7. Yang Lu, Jiandong Tian, Yiming Su, Yidong Luo, Junchao Zhang, Chunhui Hao.  A Hybrid Polarization Image Demosaicking Algorithm Based on Inter-channel Correlation[J]. IEEE Transactions on Computational Imaging, 2024, 10: 1400-1413.


·2023

  1. 1. Junchao Zhang, Yidong Luo, Junbin Huang, Ying Liu and Jiayi Ma. Multi-Exposure Image Fusion via Perception Enhanced Structural Patch Decomposition[J]. Information Fusion, 2023, 99: 101895. (IF:18.6, A new decomposition model is proposed to recall more details from dark regions, which outperms the state-of-the-art methods by a large margin.) 

  2. 2. Yidong Luo, Junchao Zhang*, and Di Tian. Sparse representation-based demosaicking method for joint chromatic and polarimetric imagery[J]. Optics and Lasers in Engineering, 2023, 164: 107526. (IF:5.666, we build a joint chromatic and polarimetric demosaicking model by sparse coding in an unsupervised way.)

  3. 3.  张俊超, 杨飞帆, 时伟, 陈溅来, 赵党军, 杨德贵. 基于深度引导与自学习的高动态成像算法[J]. 电子与信息学报, 2023, 45(1): 291-299. (指导本科生杨飞帆发表论文) 

  4. 4. Jianlai Chen, Xiaoqing Xu, Junchao Zhang*, Gang Xu, Yucan Zhu,  Buge Liang and Degui Yang. Ship Target Detection Algorithm Based on Decision-level Fusion of Visible and SAR Images[J]. IEEE Journal on Miniaturization for Air and Space Systems, 2023, 4(3): 242-249. 


·2022

  1. 1. Yuanyuan Sun, Junchao Zhang*, and Rongguang Liang*. pHSCNN: CNN-based hyperspectral recovery from a pair of RGB images[J]. Optics Express, 2022, 30(14): 24862-24873.  

  2. 2. 罗海波，张俊超，盖兴琴, 刘燕. 偏振成像技术的发展现状与展望[J]. 红外与激光工程, 2022, 51(1): 20210987.  (刊庆50周年特邀论文)

  3. 3. Junchao Zhang, Jianlai Chen, Hanwen Yu, Degui Yang, Buge Liang, and Mengdao Xing. Polarization image demosaicking via non-local sparse tensor factorization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5607210.

  4. 4. Jianlai Chen, Junchao Zhang*, Yanghao Jin, Hanwen Yu, Buge Liang, Degui Yang. Real-Time Processing of Spaceborne SAR Data with Nonlinear Trajectory Based on Variable PRF[J].  IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-12. 

  5. 5. Jianlai Chen, Junchao Zhang*, Hanwen Yu, et al.  Blind NCS-based Autofocus for Airborne Wide-Beam SAR Imaging[J]. IEEE Transactions on Computational Imaging, 2022. (Accepted)

  6. 6. Di Tian, Dangjun Zhao, Dongyang Cheng and Junchao Zhang. LiDAR Super-resolution based on Segmentation and Geometric Analysis[J]. IEEE Transactions on Instrumentation and Measurement, 2022, doi: 10.1109/TIM.2022.3204097.

  7. 7. Yu Zhong, Dangjun Zhao, Dongyang Cheng, Junchao Zhang, and Di Tian.  A fast and precise segmentation framework for Indoor point clouds[J]. Remote Sensing, 2022, 14(15): 3519.

  8. 8. Chunyang Kong, Dangjun Zhao, Junchao Zhang and Buge Liang. Real-Time Virtual Sensing for Dynamic Vibration of Flexible Structure via Fiber Bragg Grating Sensors[J]. IEEE Sensors Journal, 2022, 22(22): 21706-21718.

  9. 9. Degui Yang, Zhengyang Bai and Junchao Zhang. Infrared Weak and Small Target Detection Based on Top-Hat Filtering and Multi-Feature Fuzzy Decision-Making[J]. Electronics, 2022; 11(21):3549.

  10. 10. Ming Su, Wei Shi, Dangjun Zhao, Dongyang Cheng, and Junchao Zhang. A High-Precision Method for Segmentation and Recognition of Shopping Mall Plans[J]. Sensors 2022, 22(7): 2510. 



·2021

  1. 1. Dongyang Cheng, Junchao Zhang*, Dangjun Zhao; Jianlai Chen, Di Tian. Automatic Extraction of Indoor Structural Information from Point Clouds[J]. Remote Sensing, 2021, 13: 4930.

  2. 2. Yuanyuan Sun, Junchao Zhang, and Rongguang Liang. Color polarization demosaicking by convolutional neural network[J]. Optics Letters, 2021, 46(17): 4338-4341. (Editors' Pick Paper) (Instead of simulating the training image set commonly used by other methods, we built a unique dual-camera system and captured a pairwise color polarization image dataset, which is the first proposed in this field.)

  3. 3. Junchao Zhang, Dangjun Zhao, Jianlai Chen, Yuanyuan Sun, Degui Yang, and Rongguang Liang. Unsupervised learning for hyperspectral recovery based on a single RGB image[J]. Optics Letters, 2021, 46(16): 3977-3980. (The proposed method makes a significant step toward truly practical applications for Hyperspectral recovery from a single RGB image.)

  4. 4. Junchao Zhang, Jianlai Chen, Hanwen Yu, Degui Yang, Xiaoqing Xu, and Mengdao Xing. Learning a SAR image despeckling model via weighted sparse representation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 7148-7158. 

  5. 5. Junchao Zhang, Jianbo Shao, Jianlai Chen, Degui Yang, and Buge Liang. Polarization image fusion with self-learned fusion strategy[J]. Pattern Recognition, 2021, 118: 108045.

  6. 6. 张俊超, 陈溅来, 罗海波, 杨德贵, 梁步阁. 基于张量非负稀疏分解的偏振图像插值算法[J]. 光学学报, 2021, 41(14): 1411001. 

  7. 7. Jianlai Chen, Junchao Zhang*, Buge Liang, and Degui Yang. A General Method of Series Reversion for Synthetic Aperture Radar Imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2021. (Online published)

  8. 8. Jianlai Chen, Mengdao Xing, Xianggen Xia, Junchao Zhang*, Buge Liang, Degui Yang. SVD-Based Ambiguity Function Analysis for Nonlinear Trajectory SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(4): 3072-3087.

  9. 9. Xinglin Hou, Junchao Zhang* and Peipei Zhou. Reconstructing a High Dynamic Range Image With a Deeply Unsupervised Fusion Model[J].  IEEE Photonics Journal, 2021, 13(2):1-10.

  10. 10. Dongyang Cheng, Dangjun Zhao, Junchao Zhang, Caisheng Wei and Di Tian. PCA-based Denoising Algorithm for Outdoor Lidar Point Cloud Data[J].  Sensors, 2021, 21(11):3703.

  11. 11. Degui Yang, Zhengliang Zhu, Junchao Zhang and Buge Liang. The Overview of Human Localization and Vital Sign Signal Measurement Using Handheld IR-UWB Through-Wall Rada[J].  Sensors, 2021, 21(2):402.

  12. 12. Zhengliang Zhu, Degui Yang, Junchao Zhang and Feng Tong. Dataset of human motion status using IR-UWB through-wall radar[J].  Journal of Systems Engineering and Electronics, 2021, 32:1083-1096.



·2020

  1. 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. 2. Junchao Zhang. Weighted-encoding-based image interpolation with nonlocal linear regression model[J]. Applied Optics, 2020, 59(28): 8588-8594.

  3. 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. 4. Jianlai Chen, Buge Liang, Junchao Zhang*, Degui Yang, Yuhui Deng, Mengdao Xing. Efficiency and Robustness Improvement of Airborne SAR Motion Compensation With High Resolution and Wide Swath[J]. IEEE Geoscience and Remote Sensing Letters, 2020.



·Before 2020

  1. 1. 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.

  2. 2. Junchao Zhang, Haibo Luo, Bin Hui, and Zheng Chang. Unknown noise removal via sparse representation model[J]. ISA Transactions, 2019, 94:135-143.

  3. 3. 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.

  4. 4. 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.

  5. 5. 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.

  6. 6. 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.

  7. 7. 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.

  8. 8. 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)

  9. 9. 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.

  10. 10. 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.

  11. 11. 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.

  12. 12. 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.

  13. 13. 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.

  14. 14. 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.

  15. 15. 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.