武汉大学电子信息学院

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.

Department：	Department of Information and Communication Engineering
Name：	黄珺
E-mail address：
Gender：	Male
Title：	Associate Professor
Cell phone number：
Personal website：
Education：	l Mar. 2014 Ph.D. in Electronic Circuit and System Department of Electronics and Information Engineering Huazhong University of Science and Technology, China l Jun. 2008 B. S. in Electronics and Information Engineering Department of Electronics and Information Engineering, Huazhong University of Science and Technology, China
Employment/Teaching Experience：	l 2018-present Associate Professor, Electronic Information School, Wuhan University, Hubei, China l 2017-2018 Visiting Scholar, ECE, Georgia Institute of Technology, Gerogia, USA l 2014-2018 Lecturer, Electronic Information School, Wuhan University, Hubei, China
Main Courses：	Fundamentals of Analog Circuit
Research Experience and Fields of Special Interest：
Publications：	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.