武汉大学电子信息学院

高层次人才

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黄珺

电话：http://mvp.whu.edu.cn

邮箱：junhwong@whu.edu.cn

办公地点：网安综合楼603

个人主页：http://mvp.whu.edu.cn

研究方向：红外成像、人工智能、图像处理、嵌入式系统

导师类型：博导/硕导

个人简介

黄珺，博士，武汉大学电子信息学院教授，博士生导师，湖北省“青年拔尖人才”获得者。主要从事红外成像、计算机视觉以及人工智能等方面的研究工作，主持国家“863”计划、国家自然科学基金、军委科技委前沿创新计划、装备发展部预研共用技术项目、装备预研教育部联合基金、湖北省重点研发计划等多项科研项目。研究成果在IEEE TGRS/TII/TMM、Pattern Recognition、Information Fusion等国际权威期刊上发表SCI论文60余篇，申请国家专利28项，授权24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，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，2022年“红外成像增强若干问题及方法研究”，获湖北省自然科学二等奖。国际期刊Frontiers in Neuroscience(IF=5.15)期刊编委，Sensors 专刊客座主编，IEEE TIP/TCSVT/ TNNLS、IEEE/CAA Journal of Automatica Sinica、Information Sciences、Optics Letters、Infrared Physics & Technology等期刊审稿人。

主讲课程

模拟电路基础、图像分析与理解实践

主要科研课题及项目

主持项目：

1.国家自然科学基金面上项目，62473297，退化鲁棒与人机感知兼顾的多场景图像融合模型及应用研究，2025/01-2028/12

2.ZBYY教育部联合基金，8091B02072304，针对无人机航拍的目标伪装对抗补丁生成技术，2023/12-2025/12

3.湖北省重点研发计划，2021BBA235，基于多源信息融合的生猪健康大数据智能诊断监测关键技术研发，2022/01-2023/12

4.国家自然科学基金面上项目，62075169，基于多维异源特征与模糊推理的红外与可见光图像融合方法及应用研究，2021/01-2025/12

5.自主科研项目，2042020kf0017，基于全局联合稀疏分解的红外与可见光图像融合方法研究，2020/01-2021/12

6.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

7.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

代表性论文论著

google scholar主页：https://scholar.google.com/citations?user=7KE1gqsAAAAJ&hl=zh-CN

1.Wu K, Huang J*, Ma Y, et al. PSD-ELGAN: A pseudo self-distillation based CycleGAN with enhanced local adversarial interaction for single image dehazing[J]. Neural Networks, 2024: 106689.

2. Wang G, Ma Y, Huang J*, et al. Instance segmentation of pigs in infrared images based on INPC model[J]. Infrared Physics & Technology, 2024: 105491.

3. Cai Z, Ma Y, Huang J*, et al. CMFuse: Cross-Modal Features Mixing via Convolution and MLP for Infrared and Visible Image Fusion[J]. IEEE Sensors Journal, 2024.

4. Huang J, Li H, Gong Y, et al. Robust Feature Matching via Graph Neighborhood Motion Consensus[J]. IEEE Transactions on Multimedia, 2024.

5. Huang J, Chen Z, Ma Y, et al. PTET: A progressive token exchanging transformer for infrared and visible image fusion[J]. Image and Vision Computing, 2024, 144: 104957.

6. Pan E, Yu Y, Mei X, Huang J*, et al. From the abundance perspective: Multi-modal scene fusion-based hyperspectral image synthesis[J]. Information Fusion, 2024: 102419.

7. Qiu Z, Ma Y, Fan F, Huang J*, et al. Improved DBSCAN for Infrared Cluster Small Target Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 5511905.

8. Tang L, Chen Z, Huang J*, Ma J*, et al. CAMF: An Interpretable Infrared and Visible Image Fusion Network Based on Class Activation Mapping[J]. IEEE Transactions on Multimedia, 2023.

9. Sun Y, Xu H, Ma Y, Wu M, Mei X, Huang J*, et al. Dual Spatial-spectral Pyramid Network with Transformer for Hyperspectral Image Fusion[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5526016.

10. Pan E, Ma Y, Mei X, Huang J*, et al. Hyperspectral image destriping and denoising from a task decomposition view[J]. Pattern Recognition, 2023, 144: 109832.

11. Liu W, Mei X, Ma Y, Huang J*, et al. Graph l 1-Laplacians Regularized GMM for Hyperspectral Unmixing[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20: 5507205.

12. Qin J, Ma Y, Huang J, et al. A progressive framework for rotary motion deblurring[J]. Defence Technology, 2024, 32: 159-172.

13. Wu K, Huang J*, Ma Y, et al. Cycle-retinex: Unpaired low-light image enhancement via retinex-inline cyclegan[J]. IEEE Transactions on Multimedia, 2024, 26: 1213-1228.

14. Pan Erting, Ma Yong, Mei Xiaoguang, Huang Jun, et al. D2Net: Deep Denoising Network in Frequency Domain for Hyperspectral Image[J]. IEEE/CAA Journal of Automatica Sinica. 2023,10,(3):813-815.

15. Tang Linfeng, Deng Yuxin, Ma Yong, Huang Jun, et al. SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness[J]. IEEE/CAA Journal of Automatica Sinica. 2022,9,(12):2121-2137.

16. Yu Yang, Ma Yong, Mei Xiaoguang, Huang Jun, et al. Multi-stage convolutional autoencoder network for hyperspectral unmixing[J]. International Journal of Applied Earth Observation and Geoinformation. 2022,113:102981.

17. 张浩, 马佳义, 樊凡, 黄珺，等. 基于特征空间多分类对抗机制的红外与可见光图像融合[J]. 计算机研究与发展. 2022:1-16.

18. Zhang Y, Mei X, Ma Y, Jiang X, Peng Z, Huang J*. Hyperspectral Panoramic Image Stitching Using Robust Matching and Adaptive Bundle Adjustment[J]. Remote Sensing, 2022, 14(16): 4038.

19. JIANG Tao, MA Yong, HUANG Jun et al. Incremental structure from motion algorithm based on weighted scene graph[J]. Journal of Applied Optics, 2022, 43(5): 921-928, 1014.江滔,马泳,黄珺,王贺松,樊凡.基于赋权连接图的增量式运动恢复结构算法[J].应用光学,2022,43(5):921-928,1014

20. Qiu Z, Ma Y, Fan F, Huang J*, et al. Global Sparsity-Weighted Local Contrast Measure for Infrared Small Target Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.

21. Le Z, Huang J*, Xu H, et al. UIFGAN: An unsupervised continual-learning generative adversarial network for unified image fusion[J]. Information Fusion, 2022, 88: 305-318.

22. Wu L, Fang S, Ma Y, F Fan, J Huang*, et al. Infrared small target detection based on gray intensity descent and local gradient watershed[J]. Infrared Physics and Technology, 2022, 123: 104171.

23. Ma J, Tang L, Fan F, et al. SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer[J]. IEEE/CAA Journal of Automatica Sinica, 2022, 9(7): 1200-1217.

24. Xu H, Gong M, Tian X, et al. CUFD: An encoder–decoder network for visible and infrared image fusion based on common and unique feature decomposition[J]. Computer Vision and Image Understanding, 2022, 218: 103407.

25. Pan E, Ma Y, Mei X, et al. SQAD: Spatial-Spectral Quasi-Attention Recurrent Network for Hyperspectral Image Denoising[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-14.

26. Li Z, Ma Y, Mei X, et al. Guided neighborhood affine subspace embedding for feature matching[J]. Pattern Recognition, 2022, 124: 108489.

27. Qiu Z, Ma Y, Fan F, et al. A pixel-level local contrast measure for infrared small target detection[J]. Defence Technology, 2022, 18(9): 1589-1601.

28. Zhang C, Ma X, Wang M, Huang J*, et al. Density-guided Locality Consensus for Fast Feature Matching[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.

29. Ma J, Gao W, Ma Y, Huang J*, et al. Learning Spatial-Parallax Prior Based on Array Thermal Camera for Infrared Image Enhancement[J]. IEEE Transactions on Industrial Informatics, 2022, 18(10): 6642-6651.

30. Ma J, Wang S, Zhang K, He Z*, Huang J*, et al. Fast and Robust Loop-closure Detection via Convolutional Auto-encoder and Motion Consensus[J]. IEEE Transactions on Industrial Informatics, 2022, 18(6): 3681-3691.

31. Xu H, Le Z, Huang J*, et al. A Cross-Direction and Progressive Network for Pan-Sharpening[J]. Remote Sensing, 2021, 13(15): 3045.

32. 潘尔婷, 马泳, 黄珺*, 等. 跨数据集评估的高光谱图像分类[J]. 中国图象图形学报, 2021, 26(8): 1969-1977.

33. Jin Q, Ma Y, Fan F, Huang J, et al. Adversarial Autoencoder Network for Hyperspectral Unmixing[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.

34. Yu Y, Ma Y, Mei X, et al. A Spatial-Spectral Feature Descriptor for Hyperspectral Image Matching[J]. Remote Sensing, 2021, 13(23): 4912.

35. Peng Z, Ma Y, Mei X, et al. Hyperspectral Image Stitching via Optimal Seamline Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 5507805.

36. Fan G, Ma Y, Mei X, Fan F, Huang J, et al. Hyperspectral anomaly detection with robust graph autoencoders[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021.

37. Fan G, Ma Y, Huang J*, et al. Robust graph autoencoder for hyperspectral anomaly detection[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 1830-1834.

38. Pan E, Ma Y, Fan F, Mei X, Huang J,et al. Hyperspectral Image Classification across Different Datasets: A Generalization to Unseen Categories[J]. Remote Sensing, 2021, 13(9): 1672.

39. Wu M , Ma Y , Huang J , et al. A new patch-based two-scale decomposition for infrared and visible image fusion[J]. Infrared Physics & Technology, 2020, 110: 103362.

40. Qiu Z, Ma Y, Fan F, et al. Adaptive scale patch-based contrast measure for dim and small infrared target detection[J]. IEEE Geoscience and Remote Sensing Letters, 2020.

41. Huang J , Le Z , Ma Y , et al. A generative adversarial network with adaptive constraints for multi-focus image fusion[J]. Neural Computing and Applications, 2020, 32(18): 15119-15129.

42. Wu L, Ma Y, Fan F, Wu M, Huang J*, et al. A Double-Neighborhood Gradient Method for Infrared Small Target Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(8): 1476-1480.

43. Wang Y, Mei X, Ma Y, Huang J*, et al. Learning to find reliable correspondences with local neighborhood consensus[J]. Neurocomputing, 2020, 406: 150-158.

44. Le Z , Huang J* , Fan F , et al. A Generative Adversarial Network For Medical Image Fusion[C]// 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020: 370-374.

45. Xiao S , Ma Y , Fan F , Huang J, et al. Tracking small targets in infrared image sequences under complex environmental conditions[J]. Infrared Physics & Technology, 2020, 104:103102.

46. 吴艺阳, 樊凡, 周怡, 黄珺等. 插值前置的仿射变换FPGA实现方法[J]. 计算机工程与应用, 2020, 56(6):7.

47. 周怡，马佳义，黄珺*. 基于互导滤波和显著性映射的红外可见光图像融合［J］. 遥感技术与应用，2020，35（6）：1275- 1284.

48. Wu M, Ma Y, Fan F, Mei X, Huang J*, et al. Infrared and visible image fusion via joint convolutional sparse representation[J]. Journal of the Optical Society of America A, 2020, 37(7): 1105-1115. 4

49. Ma Y, Fan G, Jin Q, Huang J*. et al. Hyperspectral Anomaly Detection via Integration of Feature Extraction and Background Purification[J]. IEEE Geoscience and Remote Sensing Letters, 2021, 18(8): 1436-1440.

50. Jun Huang, Zhuliang Le, Yong Ma, et al. MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network[J]. IEEE Access, 2020, 8(1): 55145-55157.

51. Xu Han, Fan Fan, Zhang Hao, Le Zhuliang, Huang Jun*, A Deep Model for Multi-Focus Image Fusion Based on Gradients and Connected Regions[J]. IEEE Access, 2020, 8(1): 26316-263278.

52. Ma Y, Jin Q, Mei X, et al. Hyperspectral Unmixing with Gaussian Mixture Model and Low-Rank Representation[J]. Remote Sensing, 2019, 11(8): 911.

53. Jin Q, Ma Y, Pan E, et al. Hyperspectral Unmixing with Gaussian Mixture Model and Spatial Group Sparsity[J]. Remote Sensing, 2019, 11(20): 2434.

54. Mei X, Pan E, Ma Y, et al. Spectral-Spatial Attention Networks for Hyperspectral Image Classification[J]. Remote Sensing, 2019, 11(8): 963.

55. Ma Y, Wang Y, Mei X, et al. Visible/Infrared Combined 3D Reconstruction Scheme Based on Nonrigid Registration of Multi-Modality Images With Mixed Features[J]. IEEE Access, 2019, 7: 19199-19211.

56. 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.

57. Jin Q, Ma Y, Mei X, et al. Gaussian mixture model for hyperspectral unmixing with low-rank representation[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 294-297.

58. Pan E, Ma Y, Dai X, et al. GRU with spatial prior for hyperspectral image classification[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 967-970.

59. 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.

60. 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.

61. 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.

62. 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.

63. 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.

64. 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]. Journal of the Optical Society of America A, 2017, 34(8): 1400-1410.

65. 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.

66. 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.

67. 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.

68. 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.

69. 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.

70. 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.

71. 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.

72. 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.

73. 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.

74. 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.

75. 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.

76. 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

77. 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.

78. 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.

79. 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.

80. 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.

81. 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.

82. 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.

83. 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.

84. 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.

85. 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.

主要学术组织任职

Frontiers in Neuroscience(IF=5.15)期刊编委
Sensors 专刊“Infrared Imaging and Sensing Technology”客座编辑
IEEE TIP、IEEE TCSVT、IEEE GRSL、Optics Letters、Infrared Physics & Technology、Information Sciences、Applied Optics、JOSA A审稿人

荣誉获奖

(1)红外成像增强若干问题及方法研究，湖北省科学技术奖（自然科学奖）二等奖，2022
(2)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
(3)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
(4)2022、2016年全国研究生电子设计竞赛优秀指导教师