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【学术特区】刘红英博士

时间:2016-03-21 11:31 点击:
                                                         

刘红英博士,学术特区(2013.06-今)。期间成果:

      一、教学情况
      [1]  讲授大三"计算智能导论"课程,辅导3门必修课;
      [2]  指导本科生毕业设计15人,课程设计40人,指导研究生4名;
      [3]  担任本科生班主任。
      二、主持基金情况

      [1]  国家自然基金青年科学基金项目,61502369, 基于张量稀疏L1图的半监督极化SAR影像地物分类, 2016.01~2018.12,21万;

      [2]  中国博士后第56批面上项目,65ZY1425,基于张量稀疏L1图的极化SAR半监督地物分类,2014.09~2016.08,5万;

      [3]  教育部留学回国人员科研启动基金项目,BK16015020001, 基于稀疏编码的极化SAR半监督地物分类,2014.10~2015.09,3.5万;

      [4]  中央高校基本科研业务费,基于稀疏编码的极化SAR影像解译,7215598901, 2015.01~2016.12,6万;

      [5]  西安电子科技大学新教师创新基金项目,基于压缩感知的极化SAR影像解译技术的研究,K5051399058,2013.10~2014.09,3万;

      [6]  西安电子科技大学教育教学改革项目,智能计算类课程的创新改革与实践研究,2014.05~2016.04,1万;

      三、文章发表
      第一作者SCI二区论文录用2篇,四区论文1篇,国际会议论文2篇。
      第一作者:
      [1]  Hongying Liu*, Dexiang Zhu, Shuyuan Yang, Biao Hou, Shuiping Gou, Tao Xiong and Licheng Jiao, Semi-supervised Feature Extraction with Neighborhood Constraints for Polarimetric SAR Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, DOI: 10.1109/JSTARS.2016.2532922,待发表. IF:3.026
      [2]  Hongying Liu*, Yikai Wang, Shuyuan Yang, Shuang Wang, Jie Feng, and Licheng Jiao, Large Polarimetric SAR Data Semi-Supervised Classification with Spatial-anchor Graph, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9 (4), 1439-1458. IF:3.026
      [3]  Hongying Liu*, Shuang Wang, Biao Hou, Shuyuan Yang, and Licheng Jiao, A Framework for Classification of Urban Areas Using Polarimetric SAR Images Integrating Color Features and Statistical Model. Journal of Infrared and Millimeter Waves, 2016.02,录用. IF:0.295
      [4]  Hongying Liu*, Yikai Wang, Shuyuan Yang, Shuang Wang, Biao Hou, and Licheng Jiao,Semi-supervised Classification Based on Anchor Graph for Large Polarimetric SAR Data, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015), pp:1845-1848. 本领域顶级国际会议
      [5]  Hongying Liu*, Shuang Wang, Biao Hou, Shuyuan Yang, Junfei Shi, Tao Xiong, and Licheng Jiao. Unsupervised Classification of Polarimetric SAR Images Integrating Color Features. Proc.34th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014), pp:2762-2765.Quebec City, Cananda, 14-19 July 2014. 本领域顶级国际会议
      合作作者:
      [1]  Shuyuan Yang*, Hongying Liu, Sun cui, Jiren Zhang, Curvelet Support Value Filters (CSVFs) for Image Super-Resolution. Neurocomputing. 2016.02, 录用
      [2]  Jianing Wang*, Licheng Jiao, Hongying Liu, Shuyuan Yang, and Fang Liu, Hyperspectral Image Classification by Spatial-Spectral Derivative-aided Kernel Joint Sparse Representation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(6), pp: 2485-2500. IF:3.026
      [3]  Fang Liu*, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, and Jialing Yuan, Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification, Pattern Recognition, 2016.02, 录用, IF:3.096
      [4]  Erlei Zhang*, Xiangrong Zhang, Hongying Liu, and Licheng Jiao, Fast Multifeature Joint Sparse Representation for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, 2015, 12(7): 1397-1401. IF:2.095
      [5]  Erlei Zhang*, Licheng Jiao, Xiangrong Zhang, Hongying Liu, Shuang Wang, Class-Level Joint Sparse Representation for Multifeature-based Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 12(7): 1397-1401. IF:3.026
      [6]  Erlei Zhang*, Xiangrong Zhang, Licheng Jiao, Hongying Liu, Shuang Wang, et al, Weighted multifeature hyperspectral image classification via kernel joint sparse representation, Neurocomputing, 2016, 178, pp:71-86. IF:2.083
      [7]  Miaoyun Zhao*, Licheng Jiao, Wenping Ma, Hongying Liu, Shuyuan Yang, Classification and saliency detection by semi-supervised low-rank representation, Pattern Recognition, Vol 51, March 2016, pp: 281–294. IF:3.096
      [8]  Bo Chen*, Shuang Wang, Licheng Jiao, Rustam Stolkin, and Hongying Liu. A Three-Component Fisher-Based Feature Weighting Method for Supervised PolSAR Image Classification. IEEE Geoscience and Remote Sensing Letters, Vol.12, Issue: 4 , pp. 731 – 735,2015. IF:2.095
      [9]  Tao Xiong*, Shuang Wang, Biao Hou, Yong Wang, and Hongying Liu. A Resample-Based SVA Algorithm for Sidelobe Reduction of SAR/ISAR Imagery With Noninteger Nyquist Sampling Rate.(2015). IEEE Trans. on GRS, VOL 53, NO 2, pp: 1016-1028, Feb.2015. IF:3.514
      [10]  Shuang Wang*, Linsheng Wu, Licheng Jiao, Hongying Liu. Improve the Performance of Co-Training by Committee with Refinement of Class Probability Estimations. Neurocomputing,Vol.136:30-40, Feb.2014. IF:2.083
      [11]  Shuyuan Yang*, Zhixi Feng, Yu Ren, Hongying Liu, Licheng Jiao. Semi-supervised Classification via Kernel Low-Rank Representation Graph. Knowledge-Based Systems,Vol.69, pp.150-158,Oct.2014. IF:2.947
      [12]  Hongying Liu*, Xin Jin, Yukiyasu Tsunoo, and Satoshi Goto, “Correlated Noise Reduction for Electromagnetic Analysis”, IEICE Transactions on Fundamentals. Vol. E96-A, No.1, pp. 185-195, Jan. 2013.
      [13]  刘坤*,马文萍,刘红英,王爽,基于矩阵对数累积量的极化合成孔径雷达数据去噪方法,兵工学报,1400-1407页,第35卷第9期,2014年。
      四、申请专利
      [1] 基于多特征联合稀疏图的SAR图像分割方法,焦李成,古晶,杨淑媛,刘红英等,2014年9月17日受理,申请号:201410472497.7
      [2] 基于搜索SAR图像相位梯度自聚焦运动补偿方法,熊涛,刘红英,李宁,王爽等, 2014年9月16日受理,申请号:201410469466.6
      [3] 基于模值约束的SAR图像旁瓣抑制方法,熊涛,刘红英,王朝阳,王爽等,2014年9月1日受理,申请号:201410438952.1
      [4] 主动学习和邻域信息相结合的高光谱图像分类方法,慕彩虹,焦李成,王依萍,刘红英,熊涛等,2014年9月9日受理,申请号:201410453096.7
      [5] 基于多目标模糊聚类和反对学习的噪声图像分割,焦李成,张梦璇,马文萍,刘红英,熊涛等,2014年6月20日受理,申请号:201410276595.3
      [6] 一种基于可控核的双几何非局部均值图像去噪方法,杨淑媛,焦李成,赵琳芳,刘红英,刘芳等,2014年5月30日受理,申请号:201410060377.6
      [7] 基于压缩感知与正则MFOCUSS的超分辨谱估计方法,杨淑媛,焦李成,李斌,刘红英,马晶晶等,2014年5月30日受理,申请号:201410240165.6
      [8] 基于稀疏表示的SAR图像目标识别方法,焦李成,王少娜,马文萍,刘红英,杨淑媛等,2014年5月30日受理,申请号:201410234328.X