院系概况

1)      基于记忆的不变图像特征学习方法研究，国家自然科学基金青年项目，2016.1-2018.12，主持

2)      面向空谱特征学习的深度极限学习方法研究，中央高校基本科研业务费项目，2016.1-2017.12，主持

3)      面向图像分类的深度学习方法研究，中央高校基本科研业务费项目，2014.1-2015.12，主持

4)      自适应实时红外小目标图像处理方法研究，国家自然科学基金，2015.1-2018.12，主要成员

5)      超分辨率中的矩阵值算子学习问题，国家自然科学基金委，2015.1-2018.12，主要成员

6)      初等数学问题求解关键技术及系统，863计划子课题，2015.1-2017.12，主要成员

本人目前主要从事模式识别、计算机视觉等方面的研究，主持国家自然科学基金青年基金项目1项，作为主要成员参与国家自然科学基金项目3项、航天“十二五”支撑专题1项，国防预研基金项目1项、航天支撑技术基金项目2项、湖北省自然科学基金项目1项。已在Pattern Recognition、IEEE Transactions on Cybernetics、IEEE Transactions on Geoscience and Remote Sensing、Neurocomputing、Infrared Physics & Technology 等国际重要期刊和会议上发表学术论文20 余篇，被邀请担任IEEE Transactions on Cybernetics、IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing、Neurocomputing以及Infrared Physics & Technology等多个国际学术刊物审稿人。

1)     Yantao Wei, Xinge You, Hong Li, Multiscale Patch-based Contrast Measure for Small Infrared Target Detection, Pattern Recognition, Vol. 58, pp. 216–226, 2016.  (SCI)

2)     Yicong Zhou, Yantao Wei, Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification, IEEE Transactions on Cybernetics, Vol. 46, pp. 1667-1678, 2016. (Corresponding author, SCI)

3)     Yantao Wei, Xinge You, He Deng, Small Infrared Target Detection Based on Image Patch Ordering, International Journal of Wavelets, Multiresolution and Information Processing, vol. 14, no. 2, pp. 1-14, 2016.  (SCI)

4)     Lizhen Deng, Hu Zhua, Chao Tao, and Yantao Wei, Infrared Moving Point Target Detection Based on Spatial-temporal Local Contrast Filter, Infrared Physics & Technology vol. 76, pp. 168-173, 2016.  (SCI)

5)     Yantao Wei, Guangrun Xiao, He Deng, Hong Chen, Mingwen Tong, Gang Zhao, and Qingtang Liu, Hyperspectral Image Classification Using FPCA-based Kernel Extreme Learning Machine, Optik - International Journal for Light and Electron Optics, vol. 126, no. 23, pp.3942-3948, 2015.  (SCI)

6)     Y. Y. Tang, Tian Xia, Yantao Wei, Hong Li,and Luoqing Li, Hierarchical kernel-based rotation and scale invariant similarity, Pattern Recognition, vol. 47, no. 4, pp. 1674-1688, 2014. (Corresponding author, SCI)

7)      He Deng, Yantao Wei, Gang Zhao, and Qingtang Liu, Integration of local information-based transition region extraction and thresholding, Infrared Physics & Technology, vol. 66, pp. 103-113, 2014. (Corresponding author, SCI)

8)      Hong Li, Hongfeng Li, Yantao Wei, Yuan Yan Tang, Qiong Wang, Sparse-based neural response for image classi?cation. Neurocomputing, vol. 144, pp. 198-207, 2014. (SCI)

9)     C. L. Philip Chen, Hong Li, Yantao Wei, Tian Xia, and Y. Y. Tang, A local contrast method for small infrared target detection, IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 574-581, 2014. (Corresponding author, SCI)

10)  Hong Li, Yantao Wei, Luoqing Li, and C. L. Philip Chen, Hierarchical feature extraction with local neural response for image recognition, IEEE Transactions on Cybernetics, vol. 43, no. 2, pp. 412-424, 2013.  (SCI)

11)  He Deng, Yantao Wei, Mingwen Tong, Small Target Detection Based on Weighted Self-information Map, Infrared Physics & Technology, vol.60, pp. 197-206, 2013.  (SCI)

12)   Ramadhan Abdo Musleh Alsaidi, Hong Li, Yantao Wei, RokanKhaji, and Y. Y. Tang,Hierarchical sparse method with applications in vision and speech recognition, International Journal of Wavelets, Multiresolution and Information Processing, vol. 11, no. 2, pp. 1350016 -1- 1350016 -20, 2013.  (SCI)

13)   He Deng, Yantao Wei, and Mingwen Tong. Background suppression of small target image based on fast local reverse entropy operator, IET Computer Vision, Vol. 7, no. 5, pp. 405 - 413, 2013. (SCI)

14)   邓鹤，魏艳涛，童名文，瞿少成. 基于改进的局部反熵算子的小目标检测, 通信学报,  Vol. 34, pp. 60-69, 2013.

15)   Hong Li, Yantao Wei, Luoqing Li, and Yuan Yuan, Similarity learning for object recognition based on derived kernel, Neurocomputing, vol. 83, pp. 110-120, 2012.  (SCI)