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学术论文

近期发表的论文:

  1. Tiangu Tang, Yinghua Wang, Hongwei Liu, and Shuling Zou, CFAR-Guided Dual-Stream Single-Shot Multibox Detector for Vehicle Detection in SAR Images, IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022, 4510405.
  2. Mingfei Gu, Yinghua Wang, Hongwei Liu and Penghui Wang, PolSAR Ship Detection Based on a SIFT-like PolSAR Keypoint Detector, Remote Sensing, 2022, 14, 2900.
  3. Xiaoting Zhang, Yinghua Wang, Hongwei Liu, Robust Optical and SAR Image Registration Based on OS-SIFT and Cascaded Sample Consensus, IEEE Geoscience and Remote Sensing Letters, 2022, 4011605.
  4. Chen Zhang, Yinghua Wang, Hongwei Liu, Yuanshuang Sun, Liping Hu, SAR Target Recognition Using Only Simulated Data for Training by Hierarchically Combining CNN and Image Similarity, IEEE Geoscience and Remote Sensing Letters, 2022, 4503505.
  5. Siyuan Wang, Yinghua Wang, Hongwei Liu, Yuanshuang Sun, Attribute-Guided Multi-Scale Prototypical Network for Few-Shot SAR Target Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, 12224-12245, 2021.
  6. Jian Wang, Yinghua Wang, Bo Chen, Hongwei Liu, LCS-EnsemNet: A Semisupervised Deep Neural Network for SAR Image Change Detection With Dual Feature Extraction and Label-Consistent Self-Ensemble, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, 11903-11925, 2021.
  7. Jian Wang,Yinghua Wang, Hongwei Liu, Hybrid Variability Aware Network (HVANet): A Self-Supervised Deep Framework for Label-Free SAR Image Change Detection, Remote Sensing, 2022, 14, 734.
  8. Jinglu He, Yinghua Wang, Hongwei Liu, Ship Classification in Medium-Resolution SAR Images via Densely Connected Triplet CNNs Integrating Fisher Discrimination Regularized Metric Learning, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, 3022-3039, 2021.
  9. He JL, Wang YH, Liu HW, Wang N, Wang J. A Novel Automatic PolSAR Ship Detection Method Based on Superpixel-Level Local Information Measurement. IEEE Geoscience and Remote Sensing Letters,15(3),384-388,2018.(EI,SCI)
  10. Wang YH, Liu HW, SAR Target Discrimination Based on BOW Model With Sample-Reweighted Category-Specific and Shared Dictionary Learning, IEEE Geoscience and Remote Sensing Letters,vol.14. no.11, 2097-2101,2017. (EI,SCI)
  11. Wang ZJ, Wang YH, Liu HW, Zhang H. Structured Kernel Dictionary Learning With Correlation Constraint for Object Recognition. IEEE Transactions on Image Processing, 26(9):4578-4590, 2017.(EI,SCI)
  12. Wang N, Wang YH, Liu HW, Zuo QS, He JL. Feature-Fused SAR Target Discrimination Using Multiple Convolutional Neural Networks. IEEE Geoscience and Remote Sensing Letters,14(10),1695-1699,2017.(EI,SCI)
  13. He JL, Wang YH, Liu HW, Wang N. PolSAR Ship Detection Using Local Scattering Mechanism Difference Based on Regression Kernel. IEEE Geoscience and Remote Sensing Letters,14(10),1725-1729,2017.(EI,SCI)
  14. Yu WY, Wang YH, Liu HW, He JL. Superpixel-Based CFAR Target Detection for High-Resolution SAR Images. IEEE Geoscience and Remote Sensing Letters, 13(5): 730-734, 2016.(EI,SCI)
  15. Wang YH, Liu HW. PolSAR Ship Detection Based on Superpixel-Level Scattering Mechanism Distribution Features. IEEE Geoscience and Remote Sensing Letters, 12(8): 1780-1784, 2015.(EI,SCI)
  16. Wang YH, Liu HW, Jiu B. PolSAR Coherency Matrix Decomposition Based on Constrained Sparse Representation. IEEE Transactions on Geoscience and Remote Sensing, 52(9): 5906-5922, 2014.(EI,SCI)
  17. Wang YH, Liu HW. A Hierarchical Ship Detection Scheme For High-Resolution SAR Images. IEEE Transactions on Geoscience and Remote Sensing, 50(10): 4173-4184, 2012.(EI,SCI)
  18. Wang YH, Han CZ, Tupin F. PolSAR Data Segmentation by Combining Tensor Space Cluster Analysis and Markovian framework. IEEE Geoscience and Remote Sensing Letters, 2010, 7(1): 210-214.(EI,SCI)
  19. Wang YH, Tupin F, Han CZ. Building Detection from High-Resolution PolSAR Data at the Rectangle Level by Combining Region and Edge Information. Pattern Recognition Letters, 2010, 31: 1077-1088.(EI,SCI)
  20. Wang YH, Han CZ. PolSAR Image Segmentation by Mean Shift Clustering in the Tensor Space. Acta Automatica Sinica, 2010, 36(6): 798-806.(EI)
  21. Wang YH, Liu HW, Wen W, Ding J. PolSAR Ship Detection Based on Low-rank Dictionary Learning and Sparse Representation, presented in International Radar Conference, 2014, Lille, France.
  22. Wang YH, Tupin F, Han CZ, Nicolas JM. Building Detection from High-Resolution PolSAR Data by Combining Region and Edge Information. IGARSS 2008, IEEE, Boston, USA. 153-156. (EI)
  23. 宋文青,王英华,刘宏伟,高分辨率SAR图像自动区域筛选目标检测方法,电子与信息学报,Vol.38, No. 5, pp.1017-1025, 2016年5月。(EI)
  24. 宋文青,王英华,时荔蕙,刘宏伟,保铮,基于多特征融合词包模型的SAR目标鉴别算法,电子与信息学报,Vol.39,No.11, pp.2705-2715,2017年11月。(EI)
  25. 文伟,王英华,冯博,刘宏伟,基于监督非相干字典学习的极化SAR图像舰船目标检测,自动化学报,2015,41(11):1926-1940。(EI)
  26. 齐会娇,王英华,丁军,刘宏伟,基于多信息字典学习及稀疏表示的SAR目标识别,系统工程与电子技术,2015,37(6):1280-1287。(EI)
  27. 宋文青,王英华,卢红喜,文伟,刘宏伟,保铮,基于幂次变换的SAR图像Otsu分割法,系统工程与电子技术,2015,37(7):1504-1511。(EI)
  28. 丁军,刘宏伟,王英华,王正珏,齐会娇,时荔蕙,一种联合阴影和目标区域图像的SAR目标识别方法,电子与信息学报,2015,37(3): 594-600。(EI)
  29. 卢红喜,宋文青,李飞,王英华,刘宏伟等,基于幅相一致性校正的稳健植被参数反演方法,电子与信息学报,2015,37(2):283-290。(EI)
  30. 丁军,刘宏伟,陈渤,王英华,姿态图像缺失情况下的SAR目标识别,西安电子科技大学学报,2015,43(4):7-12。(EI)
  31. 李飞,纠博,王英华,罗涛,刘宏伟,一种SAR目标属性特征提取算法,西安电子科技大学学报,2014,(03):15-22。(EI)
  32. 丁军,刘宏伟,王英华,基于非负稀疏表示的SAR图像目标识别方法,电子与信息学报,2014,36(09):2194-2200。(EI)
  33. 李飞,纠博,刘宏伟,王英华,张磊,基于稀疏表示的SAR图像属性散射中心参数估计算法,电子与信息学报,2014,(04):931-937。(EI)
  34. 尹奎英,刘宏伟,金林,王英华,一种基于多模分布的SAR图像分割算法,宇航学报,2011,(04):879-887。(EI)
  35. 尹奎英,金林,刘宏伟,王英华,基于局部纹理特征的合成孔径雷达变体目标自动识别算法,吉林大学学报(工学版),2012,(03):743-748。(EI)