© Copyright 2010-2012 武汉大学电子信息学院 版权所有 © 2003-2005 访问量:
| 部门： | 信息与通信工程系 |
| 姓名： | 黄珺 |
| 邮箱： | junhwong@whu.edu.cn |
| 性别： | 男 |
| 职称： | 副教授 |
| 学历学位： | 博士 |
| 导师类型： | 博导/硕导 |
| 办公电话： | http://mvp.whu.edu.cn |
| 通信地址： | 网安综合楼603 |
| 邮政编码： | |
| 主要经历： | |
| 学习经历： | 2008–2014， 华中科技大学， 电路与系统， 博士 |
| 任职经历： | 2018-至今，武汉大学，电子信息学院，副教授 |
| 主讲课程： | |
| 本科生课程： | 模拟电路基础 |
| 研究生课程： | |
| 科学研究： | |
| 主要研究方向： | 红外成像及应用、图像处理、超光谱成像、嵌入式系统 |
| 主要科研课题及项目： | 主持项目： |
| 主要论文及著作： | 1. Qiu Z, Ma Y, Fan F, et al. Global Sparsity-Weighted Local Contrast Measure for Infrared Small Target Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.
2. Le Z, Huang J*, Xu H, et al. UIFGAN: An unsupervised continual-learning generative adversarial network for unified image fusion[J]. Information Fusion, 2022.
3. 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.
4. 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.
5. 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.
6. 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.
7. Li Z, Ma Y, Mei X, et al. Guided neighborhood affine subspace embedding for feature matching[J]. Pattern Recognition, 2022, 124: 108489.
8. Qiu Z, Ma Y, Fan F, et al. A pixel-level local contrast measure for infrared small target detection[J]. Defence Technology, 2021.(WOS没收录)
9. 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.
10. 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. (WOS没收录)
11. 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.
12. Xu H, Le Z, Huang J*, et al. A Cross-Direction and Progressive Network for Pan-Sharpening[J]. Remote Sensing, 2021, 13(15): 3045.
13. 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.
14. 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.
15. Yu Y, Ma Y, Mei X, et al. A Spatial-Spectral Feature Descriptor for Hyperspectral Image Matching[J]. Remote Sensing, 2021, 13(23): 4912.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. Mei X, Pan E, Ma Y, et al. Spectral-Spatial Attention Networks for Hyperspectral Image Classification[J]. Remote Sensing, 2019, 11(8): 963.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. 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.
66. 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.
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| 其它： | |
| 获奖情况： | (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
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| 主要社会及学术兼职： | Frontiers in Neuroscience(IF=5.15)期刊编委 |
| 所带研究生情况： | |