黄珺 副教授

黄珺,武汉大学电子信息学院副教授,硕导,2008年于华中科技大学电子与信息工程系获学士学位;2014年于华中科技大学电子与信息工程系获得电路与系统专业博士学位。主要从事红外成像、红外超光谱成像以及布里渊激光雷达系统等方面的研究工作,主持国家“863”计划项目1项,国家自然科学基金1项,中国博士后基金1项,作为骨干成员参与多项包括国家自然科学基金、国家863计划、总装备部武器装备探索研究重大项目等在内的纵向项目,以及多项航天8358所、中电11所、兵器211所委托的横向课题,发表SCI论文28篇(ESI热点论文1篇),申请国家专利25项,授权20项。2013年“高性能红外成像关键技术研究及其应用”获湖北省科技进步一等奖1项,2014年“高帧频、大面阵红外成像关键技术及装备”获教育部技术发明奖二等奖1项。国外期刊Infrared Physics & Technology、IEEE Access、Information Sciences、Applied Optics、JOSA A审稿人。

联系方式

Email:junhwong@whu.edu.cn
google学术个人主页:https://scholar.google.com/citations?user=7KE1gqsAAAAJ&hl=zh-CN

教育背景

2008/9–2014/3, 华中科技大学, 电路与系统,   博士
2004/9–2008/6, 华中科技大学, 电子信息工程, 学士

工作经历

2018/1-今,武汉大学,电子信息学院,副教授,硕导
2016/12-2017/12,佐治亚理工学院,School of Electrical and Computer Engineering,访问学者
2014/8-2017/12,武汉大学,电子信息学院,讲师
2014/8-2016/7,武汉大学,博士后,合作导师:李德识

学术奖励

(1)高帧频、大面阵红外成像关键技术及装备,教育部高等学校科学研究优秀成果奖(技术发明)二等奖,2014
(2)高性能红外成像关键技术研究及其应用,湖北省科学技术奖(科技进步奖)一等奖,2013

科研项目

主持项目:

  1. 国家自然科学基金青年基金,61605146,面向傅里叶红外成像光谱仪干涉数据立方的场景非均匀性校正方法,2017-2019,19万

  2. 国家863计划701主题,2014AA7014047-2015AA7014047,xx探测技术研究,2014-2016,60万

  3. 中国博士后科学基金,2015M572194,基于傅里叶成像光谱仪的海面温度遥感信号处理方法研究,2015-2016,5万

参与项目:

  1. 军委科技委先进仿生系统主题,仿生跳跃机器人三维视觉感知技术研究,2017-2018,50万

  2. 装备预研教育部联合基金,6141A02033333,无人机红外可见光融合图像超分辨率技术,2018-2019

  3. “十三五”装备预研领域基金,61404140503,高性能红外-可见光融合探测技术,2017-2019

  4. “十三五”装备预研共用技术,41414050206,红外xxx信号处理模块技术,2016-2020

  5. 军委科技委前沿创新计划,xxx多波段实时融合探测技术,2017-2019

  6. 装备预研教育部联合基金,6141A02022303,可见光/红外图像融合的目标搜索与智能识别侦查系统

  7. 国家自然科学基金面上项目,61275098,红外超光谱谱指纹检测和识别海洋溢油污染方法研究,2013-2016

  8. 国家自然科学基金青年基金,61108074,实时获取高精度海水布里渊频谱的信号处理方法研究,2012-2014

  9. 国家863计划704主题,2011AA7044030-2015AA7044030,xx过程中的红外图谱目标成像测量技术研究,2011-2016

授权专利

  1. 基于局部线性迁移的非刚性变换图像特征匹配方法及系统,申请号:ZL 201510801246.3

  2. 基于局部线性迁移和刚性模型的图像特征匹配方法及系统,申请号:ZL 201510807463.3

  3. 基于局部线性迁移和仿射变换的图像特征匹配方法及系统,申请号:ZL 201510799813.6

  4. 一种基于边界投影最优梯度的高光谱非线性解混方法,申请号:ZL 201510700049.2

  5. 基于特征索引的超光谱匹配方法及系统,专利号:ZL 201410627713.0

  6. 一种基于鲁棒低秩张量的高光谱图像去噪方法,专利号:ZL 201510521057.0

  7. 用于光谱图像数据降维的邻居点搜索方法及系统,专利号:ZL 201410468127.6

  8. 基于空间相关性的高光谱数据降噪方法及系统,专利号:ZL 201410821313.3

  9. 基于边缘提取的红外图像直方图增强方法,专利号:ZL 201410834788.6

  10. 一种基于噪声识别的红外图像降噪方法,专利号:ZL 201510004744.5

  11. 基于光谱抽样直方图的超光谱降维匹配方法及系统,专利号:ZL  201410584276.9

  12. 一种面向超光谱数据库的小波去噪算法,专利号:ZL 201410510422.3

  13. 用于目标识别的红外超光谱信号处理方法、处理机及系统,专利号:ZL 201410700672.3

  14. 法布里珀罗干涉圆环图像处理方法,专利号:ZL 201310285640.7 

  15. 基于双平台直方图的红外图像自适应增强方法,专利号:ZL201110370520.8 

  16. 扫描型红外成像系统的非均匀校正方法,专利号:ZL201110312154.0

  17. 多气象参数同步测量激光雷达,专利号:ZL201120525536.7 

  18. 一种通过长短积分控制实现红外图像增强的方法,专利号:ZL201010502552.4

  19. 适用于高帧率大面阵红外探测器的实时红外图像处理系统,专利号:ZL201010502547.3

  20. 基于频谱特征信号的多气象参数同步测量方法及激光雷达,专利号:ZL201110178286.9

学术论文

  1. Wang J, Chen J, Xu H, Zhang S, Mei X, Huang J, et al. Gaussian field estimator with manifold regularization for retinal image registration[J]. Signal Processing, 2019, 157: 225-235.

  2. Du Q, Xu H, Ma Y, Huang J, et al. Fusing Infrared and Visible Images of Different Resolutions via Total Variation Model[J]. Sensors, 2018, 18(11): 3827.

  3. Fan F, Ma Y, Huang J, et al. Infrared Image Enhancement based on Saliency Weight with Adaptive Threshold[C]//2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP). IEEE, 2018: 225-230.

  4. Mei X, Ma Y, Li C, Fan F, Huang J, et al. Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation[J]. Neurocomputing, 2018, 275: 2783-2797.

  5. Du Q, Fan A, Ma Y, Fan F, Huang J, et al. Infrared and Visible Image Registration Based on Scale-Invariant PIIFD Feature and Locality Preserving Matching[J]. IEEE Access, 2018, 6: 64107-64121.

  6. Huang J, Ma Y, Zhang Y, et al. Infrared image enhancement algorithm based on adaptive histogram segmentation[J]. Applied optics, 2017, 56(35): 9686-9697.

  7. Xiaoye Zhang, Yong Ma, Fan Fan, Ying Zhang, and Jun Huang*. Infrared and visible image fusion via saliency analysis and local edge-preserving multi-scale decomposition[J]. JOSA A, 2017, 34(8): 1400-1410.

  8. Huang J, Ma Y, Mei X, et al. A hybrid spatial-spectral denoising method for infrared hyperspectral images using 2DPCA[J]. Infrared Physics & Technology, 2016, 79: 68-73. 

  9. Liu Z, Ma Y, Huang J*, et al. A registration based nonuniformity correction algorithm for infrared line scanner[J]. Infrared Physics & Technology, 2016, 76: 667-675. 

  10. Ma J, Chen C, Li C, Huang, J.* Infrared and visible image fusion via gradient transfer and total variation minimization[J]. Information Fusion, 2016, 31: 100-109.

  11. Huang J, Ma Y, Fan F, et al. "A scene-based nonuniformity correction algorithm based on fuzzy logic." Optical Review 22.4 (2015): 614-622. 

  12. Fan F, Ma Y, Huang J,* et al. "A combined temporal and spatial deghosting technique in scene based nonuniformity correction." Infrared Physics & Technology 71 (2015): 408-415.

  13. Huang, J., Ma, Y., Zhou, B., et al. "Processing method of spectral measurement using FP etalon and ICCD." Optics express 20.17 (2012): 18568-18578.

  14. Liang, K., Ma, Y., Huang, J.*, et al. "Precise measurement of Brillouin scattering spectrum in the ocean using F–P etalon and ICCD." Applied Physics B 105.2 (2011): 421-425. 

  15. Li C, Ma Y, Mei X, Fan F, Huang J, et al. Sparse Unmixing of Hyperspectral Data with Noise Level Estimation[J]. Remote Sensing, 2017, 9(11): 1166.

  16. Fan F, Ma Y, Li C, Mei X, Huang J, et al. Hyperspectral image denoising with superpixel segmentation and low-rank representation[J]. Information Sciences, 2017, 397: 48-68.

  17. Liu C, Ma J, Ma Y, Huang J et al. Retinal image registration via feature-guided Gaussian mixture model[J]. JOSA A, 2016, 33(7): 1267-1276. 

  18. Li C, Ma Y, Huang J, et al. Gbm-based unmixing of hyperspectral data using bound projected optimal gradient method[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(7): 952-956. 

  19. J. Han, Y. Ma, J. Huang, X. Mei and J. Ma, "An Infrared Small Target Detecting Algorithm Based on Human Visual System," in IEEE Geoscience and Remote Sensing Letters, 13.3(2016), 452-456

  20. Zhou, B., Fan, Q., Ma, Y., Yao, Y., Li, H., Huang, J., & Liang, K. Experimental analysis on the rapid measurement of a high precision Brillouin scattering spectrum in water using a Fabry–Pérot etalon[J]. Laser Physics Letters, 2016, 13(5): 055701.

  21. Li C, Ma Y, Huang J, et al. "Hyperspectral image denoising using the robust low-rank tensor recovery." JOSA A 32.9 (2015): 1604-1612.

  22. Mei, X., Ma, Y., Li, C., Fan, F., Huang, J., & Ma, J. "A Real-Time Infrared Ultra-Spectral Signature Classification Method via Spatial Pyramid Matching." Sensors 15.7 (2015): 15868-15887.

  23. Mei, X., Ma, Y., Fan, F., Li, C., Liu, C., Huang, J., & Ma, J. Infrared ultraspectral signature classification based on a restricted Boltzmann machine with sparse and prior constraints[J]. International Journal of Remote Sensing, 2015, 36(18): 4724-4747.

  24. Ma, Y., Li, H., Gu, Z., Ubachs, W., Yu, Y., Huang, J., et al. "Analysis of Rayleigh-Brillouin spectral profiles and Brillouin shifts in nitrogen gas and air." Optics express 22.2 (2014): 2092-2104.

  25. Ma, Y., Yu, Y., Li, H., Huang, J., et al. "Accurate measurement of high resolution spectrum obtained by F–P etalon and ICCD." Applied Physics B 116.3 (2014): 575-584.

  26. Ma, Y., Li, H., Yu, Y., Yao, Y., Fang, Y., Zhou, B., Huang, J. , et al. "Experimental analysis on calibration of instrument broadening in a lidar system with Fabry–Perot etalon." Journal of Modern Optics 60.21 (2013): 1967-1975.

  27. Liang, K., Ma, Y., Yu, Y., Huang, J., et al. "Research on simultaneous measurement of ocean temperature and salinity using Brillouin shift and linewidth." Optical Engineering 51.6 (2012): 066002-1.

  28. Yu, Y., Ma, Y., Li, H., Huang, J., et al. "Simulation of simultaneously obtaining ocean temperature and salinity using dual-wavelength Brillouin lidar." Laser Physics Letters 11.3 (2014): 036001.