赵辽英

  • 计算机科学与技术

    高光谱图像处理，模式识别和机器学习


  • 女，博士、教授、硕导，IEEE/SPIE/CCF会员。于1992年和1995年从杭州电子科技大学获得学士和硕士学位，于2004年从浙江大学获得博士学位，2013年美国马里兰大学巴尔的摩分校访问学者经历。曾入选浙江省新世纪151人才工程第三层次。
    主要研究方向为高光谱图像处理、模式识别和机器学习。先后主持并完成国家基金面上项目1项，教育部联合基金项目1项，浙江省自然科学基金1项，核心成员参与国家基金面上项目3项，参与其他省重点基金等项目10余项，主持并完成横向科研项目近10项。发表学术论文80多篇， SCI或EI索引多篇，申请/获得专利多项。同时担当多个社会学术**，包括国家自然科学基金委网评专家，一些期刊的审稿人，如IEEE Geoscience and Remote Sensing Letters, 遥感学报等。


  • 1. L. Ren, L. Zhao, Y. Wang.  L. Ren, L. Zhao, Y. Wang. Superpixel Based Local RX for Hyperspectral Anomaly detection, IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 7, pp. 1233-1237, July 2020.
    2. Ziqiang Hua, Xiaorun Li, Shuhan Chen, Liaoying Zhao, “Hyperspectral unmixing with scaled and perturbed linear mixing model to address spectral variability,” J. Appl. Remote Sens. 14(2), 026515 (2020).
    3. Cao Zeyu, Xiaorun Li, Liaoying Zhao, Semisupervised hyperspectral imagery classification based on a three-dimensional convolutional adversarial autoencoder model with low sample requirements, J. Appl. Remote Sens. 14(2), 024522 (2020).
    4. C. Xia, X. Li, L. Zhao and R. Shu, Infrared Small Target Detection Based on Multiscale Local Contrast Measure Using Local Energy Factor, in IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 1, pp. 157-161, Jan. 2020.
    5. Dazhuang Wang, Liaoying Zhao, Huaguo Zhang, et al., On Optimal Imaging Angles in Multi-Angle Ocean Sun Glitter Remote-Sensing Platforms to Observe Sea Surface Roughness, Sensors 2019, 19(10), 2268
    6. Zhao Liaoying，Lin Weijun,Wang Yulei, Li Xiaorun, Recursive local summation of RX detection for hyperspectral image using sliding windows, Remote Sensing, 2018, 10(1):103.
    7. 赵辽英，林伟俊，王玉磊，厉小润. 基于滑动阵列的高光谱图像非因果实时RXD检测. 光子学报, 2018,47(7): 24-35.
    Zhao Liaoying, Lin Weijun, Wang Yulei, Li Xiaorun, Non-casual Real-time RXD Detection for Hyperspectral Imagery Based on Sliding Array, Guangzi Xuebao/Acta Photonica Sinica, 2018,47(7): 24-35.
    8. X. Li, W. Zhang, S. Niu, Z. Cao and L. Zhao, Kernel-OPBS Algorithm: A Nonlinear Feature Selection Method for Hyperspectral Imagery, IEEE Geoscience and Remote Sensing Letters, 2019, early access.
    9. R. Huang, X. Li and L. Zhao, Spectral–Spatial Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, 57(10): 8235-8254, Oct. 2019.
    10. C. Xia, X. Li, L. Zhao and R. Shu, Infrared Small Target Detection Based on Multiscale Local Contrast Measure Using Local Energy Factor, IEEE Geoscience and Remote Sensing Letters, 2019, early access.
    11. Han Yang, Xiaorun Li, Liaoying Zhao and Shuhan Chen, A Novel Coarse-to-Fine Scheme for Remote Sensing Image Registration Based on SIFT and Phase Correlation, Remote Sens. 2019, 11(15), 1833.
    12. Wenqiang Zhang, Xiaorun Li and Liaoying Zhao, Discovering the Representative Subset with Low Redundancy for Hyperspectral Feature Selection, Remote Sens. 2019, 11(11), 1341.
    13. Dazhuang Wang, Liaoying Zhao, Huaguo Zhang, et al., On Optimal Imaging Angles in Multi-Angle Ocean Sun Glitter Remote-Sensing Platforms to Observe Sea Surface Roughness, Sensors 2019, 19(10), 2268.
    14. Risheng Huang, Xiaorun Li, Haiqiang Lu, Jing Li and Liaoying Zhao, Parameterized Nonlinear Least Squares for Unsupervised Nonlinear Spectral Unmixing, Remote Sens. 2019, 11(2), 148.
    15. Chaoqun Xia,Xiaorun Li andLiaoying Zhao，Infrared Small Target Detection via Modified Random Walks， Remote Sens. 2018, 10(12), 2004; https://doi.org/10.3390/rs10122004
    16. Wenqiang Zhang, Xiaorun Li, Liaoying Zhao, “A Fast Hyperspectral Feature Selection Method Based on Band Correlation Analysis” IEEE Geoscience and Remote Sensing Letters, 2018，15(11)：1750-1754
    17. Wenqiang Zhang, Xiaorun Li, Yaxing Dou, Liaoying Zhao, “A Geometry –based Band Selection Approach for Hyperspectral Image Analysis”,IEEE Transactions on Geoscience and Remote Sensing, 2018 , 56（8）：4318-4333
    18. Risheng Huang, Xiaorun Li, Liaoying Zhao, “Hyperspectral Unmixing Based on Incremental Kernel Nonnegative Matrix Factorization”, IEEE Transactions on Geoscience and Remote Sensing, 2018,56（11）：6645-6662.
    19. Wenqiang Zhang, Xiaorun Li, Liaoying Zhao, “Band Priority Index: A Feature Selection Framework for Hyperspectral Imagery”,Remote Sensing, 2018, 10(7), 1095
    20. Wenqiang Zhang, Xiaorun Li, Yaxing Dou, Liaoying Zhao, “Fast linear-prediction-based band selection method for hyperspectral image ****ysis” J. Appl. Remote Sens. 2018，12(1), 016027
    21. Shuhan Chen, Xiaorun Li, Han Yang, Liaoying Zhao, Robust local feature descriptor for multisource remote sensing image registration, J. Appl. Remote Sens. 12(1), 015005 (2018),
    22. Shuhan Chen, Xiaorun Li, Liaoying Zhao, Han Yang. Medium-low resolution multisource remote sensing image registration based on SIFT and robust regional mutual information [J]. International Journal of Remote Sensing, 2018,39(10):3215-3242
    23. 林伟俊,赵辽英,厉小润.基于逐像素递归处理的高光谱实时亚像元目标检测.计算机科学, 2018, 45(06): 259-264.
    Lin Weijun, Zhao Liaoyig, Li Xiaorun, Real-time Sub-pixel Object Detection for Hyperspectral Image Based on Pixel-by-pixel Processing, Computer Science , 2018, 45(06): 259-264.
    24. 江子特，赵辽英，邹佳林. 基于Fan模型非负矩阵分解的光谱解混并行计算[J]. 计算机应用与软件，2017，34(12):96-100.
    Jiang Zite, Zhao Liaoying, Zhou Jialin, Spectral unmixing parallel computing of nonnegative matrix decomposition based on Fan model, Computer Applications and Software, 2017，34(12): 96-100.
    25. 邹佳林,赵辽英,厉小润,陈小芬. 基于CUDA的单形体增长并行端元提取[J]. 计算机工程与设计,2017,(11):3179-3184.
    Zhou Jialin, Zhao Liaoying, Li Xiaorun, Chen Xiaofen, CUDA parallel realization of simplex growing algorithm for endmember extraction, Computer Engineering and Design, 2017,(11):3179-3184.
    26. 赵辽英, 陈小芬, 厉小润, . 变化向量分析结合光谱解混的高光谱变化检测[J/OL]. 浙江大学学报(工学版), 2017 , 51(10):1912-1919
    Zhao Liaoying, Chen Xiaofen, Li Xiaorun, Hyperspectral change detection based on change vector ****ysis and spectral unmixing, Journal of Zhejiang University. Engineering Science, 2017, 51(10):1912-1919.
    27. 赵辽英，范明阳，厉小润，陈辰，基于目标优化的高光谱图像亚像元定位，中国图形图象学报，2016，21(6): 823-833
    Zhao Liaoying, Fan Mingyang, Li Xiaorun, Chen Chen, Sub-pixel mapping of hyperspectral imagery based on object optimization , Journal of Image and Graphics, 2016，21(6): 823-833
    28. Liaoying Zhao,Mingyang Fan，Xiaorun Li，Lijiao Wang. Fast Implementation of Linear and Nonlinear Simplex Growing Algorithm for Hyperspectral Endmember Extraction. Optik,2015，126，4072-4077
    29. 赵辽英, 吕步云, 厉小润，陈淑涵. 基于SIFT和区域互信息优化的多源遥感图像配准[J]. 物理学报, 2015, 64(12):124204.
    Zhao Liao-Ying Lü Bu-Yun Li Xiao-Run Chen Shu-Han，Multi-source remote sensing image registration based on scale-invariant feature transform and optimization of regional mutual information， Acta Physica Sinica, 64, 124204 (2015)
    30. 赵辽英，李富杰，厉小润. 泛化改进的局部切空间排列算法与人脸识别[J].计算机工程, 2014,40(11):160-166.
    Zhao Liaoying, Li Fujie, Li Xiaorun, Local Tangent Space Alignment Algorithm of Generalized Improvement, Computer Engineering, 2014,40(11):160-166.
    31. Zhao Liaoying, Zheng Junpeng, Li Xiaorun,Wang Lijiao, Kernel simplex growing algorithm for hyperspectral endmember extraction[J], Journal of Applied Remote Sensing, 2014, Vol.8, 083594-1-15.
    32. 郑俊鹏，赵辽英. 基于CUDA的高光谱图像虚拟维度并行计算[J]. 杭州电子科技大学学报，2014，34（6）：56-60.
    Zheng Junpeng, Zhao Liaoying. Parallel Computing of Virtual Dimension of Hyperspectral Images Based on CUDA, Journal of Hangzhou Dianzi University, 2014，34（6）：56-60.
    33. Zhao Liaoying, Zheng Junpeng, Li Xiaorun, Zhou Yang，Band Selection for Hyperspectral Images Based on SNR Estimation and Information Measure Index, Journal of Computational Information system, 9(23), pp 9573-9582, 2013/12/1
    34. 赵兵，赵辽英 基于现场可编程门阵列的广义逆矩阵求解，杭州电子科技大学学报，2013，33(2):17-20
    Zhao Bing, Zhao Liaoying, The realization of moor-penrose inverse based on FPGA, , Journal of Hangzhou Dianzi University, 2013，33(2): 17-20
    35. 赵辽英，马启良，厉小润. 基于HIS-小波变换和MOPSO的全色与多光谱图像融合[J]，物理学报，2012,61（19）：194204
    Zhao Liaoying, Ma Qiliang, Li Xiaorun. Multi-spectral and panchromatic image fusion based on HIS-wavelet transform and MOPSO algorithm, Acta Phys. Sin. Vol. 61, No. 19 (2012) 194204.
    36. 赵辽英，沈银河，厉小润，崔建涛. 基于数学形态学的组合核信号空间正交投影法[J]，光学学报，2011,3(12):1228003
    Zhao Liaoying, Shen Yinhe, Li Xiaorun, Cui Jiantao. Composite Kernel Target Detection Based on Mathematical Morphology for Hyperspectral Imagery, Acta Optica Sinica, 2011,3(12): 1228003
    37. 赵辽英，张凯，厉小润. 高光谱图像目标检测的核信号空间正交投影法[J]. 遥感学报，2011，15（1）：13-28.
    Zhao Liaoying, Zhang Kai, Li Xiaorun. Kernel Signature Space Orthogonal Projection for Target Detection in Hyperspectral Imagery[J]. Journal of Remote Sensing, 2011,15（1）:13-28 .

    Proceeding：
    1. Jiang, Zite, Qin, Feiwei; Zhao, Liaoying, A Phoneme Sequence Driven Lightweight End-To-End Speech Synthesis Approach, Journal of Physics: Conference Series, v 1267, n 1, July 17, 2019, 2019 3rd International Conference on Artificial Intelligence, Automation and Control Technologies, AIACT 2019
    2. Zhaoxin Liu， Liaoying Zhao， Xiaorun Li，” Subpixel mapping of hyperspectral image based on linear subpixel feature detection and object optimization”, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS , 2018, 42(3): 2067-2071. 2018.5.7-5.10,
    3. Ruimin Li, Liaoying Zhao, Xiaorun Li, Band selection for hyperspecral imagery based on particle swarm optimization，The 2015 8th International Congress on Image and Signal Processing，Shenyang, P.R. China，2015.10.14-2015.10.18
    4. Buyun Lv, Liaoying Zhao, Xiaorun Li, Remote sensing image registration using SIFT and vegetation index ****ysis，The 2014 7th International Congress on Image and Signal Processing ，Dalian, P.R. China，2014.10.22-2014.10.25
    5． Zheng Junpeng, Zhao Liaoying, Li XIaourn，GPU-based acceleration of the hyperspectral band selection by SNR estimation using wavelet transform，2014 SPIE Proc on Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V，Beijing，P.R. China，2014.10.14-10.16.
    6．Liaoying Zhao，Chein-I Chang，Shih-Yu Chen，Chao-Cheng Wu，Mingyang Fan, Endmember-specified virtual dimensionality in hyperspectral imagery, 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.3466,3469, Quebec，Canada，2014.7.13-2014.7.18