李树涛(长安大学校长、党委副书记)

李树涛，男，毕业于湖南大学电气与信息工程学院，博士，教授，博士生导师，历任湖南大学研究生院院长，教育部长江学者特聘教授。

现任长安大学校长、党委副书记。

人物经历

教育经历

工作经历

历任湖南大学研究生院培养办副主任、主任，湖南大学电气与信息工程学院副院长。

2001.09-2004.05湖南大学电气与信息工程学院副教授。

2004.06湖南大学电气与信息工程学院教授。

2006.06湖南大学电气与信息工程学院博士生导师。

2001.05-2001.10香港科技大学计算机科学系博士后。

2002.11-2003.11英国伦敦大学伦敦大学皇家霍洛威学院学院计算机科学系博士后。

2005.04-2005.06香港科技大学计算机科学系访问教授。

2015年10月任湖南大学研究生院院长。

2017年10月任湖南大学校长助理。

2018年12月当选湖南大学党委常委。

2019年6月起任湖南大学党委常委、副校长。

2021年12月，入选中国图象图形学学会会士名单。

2025年7月，任长安大学校长、党委副书记。

主要成就

研究领域

长期从事图像处理、信息融合、稀疏表示、压缩感知，模式识别、机器学习等方面的研究工作。

一直从事图像信息获取与处理及其应用研究，主持和完成了国家和省部级项目15项，发表SCI收录论文58篇，其中IEEE汇刊(Trans)论文20篇，SCI他引642次，获国家科技进步二等奖2项，教育部自然科学二等奖、湖南省科技进步二等奖各1项，授权发明专利8项，担任《IEEE Trans on Geoscience and Remote Sensing》《Information Fusion》和《Sensing and Imaging》编委。

科研成果

在国内外权威学术期刊和会议上发表论文200余篇，其中SCI收录78篇，ESI 1%高被引论文11篇，ESI 1‰热点论文2篇，授权国家发明专利12项，软件著作权6项

近年来，先后主持了国家自然科学基金、教育部新世纪优秀人才支持计划、湖南省杰出青年基金、教育部科学技术研究重点项目、高等学校博士学科点专项科研基金、教育部留学回国人员科研启动基金、湖南省自然科学基金、湖南省优秀博士论文基金等项目，学术论文多篇发表在IEEE Trans. Image Processing、IEEE Trans. 地球科学 and Remote Sensing、IEEE Trans. Neural Network、IEEE Trans. System, Man, and Cybernetics-Part B: Cybernetics、IEEE Trans. Biomedical Engineering、IEEE Trans. Instrumentation and Measurement、IEEE Sensors Journal、IEEE 地球科学 and Remote Sensing Letter、Pattern Recognition、Image and Vision Computing、Pattern Recognition Letters、Neurocomputing、Information Fusion、自动化学报、电子学报等国内外重要学术刊物和会议上。

科研项目

2010年1月-2011年12月模式识别国家重点实验室开放课题（负责）　　

2009年1月-2011年12月教育部科学技术研究重点项目（负责）　　

2009年1月-2012年12月教育部博士点基金（负责）　　

2009年1月-2011年12月国家自然科学基金项目（负责）　　

2009年1月-2012年12月教育部双语教学示范课程（负责）　　

2006年7月-2009年6月湖南省杰出青年基金（负责）　　

2006年1月-2008年12月教育部新世纪优秀人才资助计划（负责）　　

2005年10月-2007年9月教育部留学回国人员科研启动基金（负责）　　

2005年1月-2005年12月视觉听觉信息处理国家重点实验室项目（负责）　　

2005年1月-2007年12月国家自然科学基金项目（负责）　　

2004年1月-2006年12月湖南大学育英计划资助项目（负责）　　

2003年1月-2004年12月湖南省优秀博士论文基金（负责）　　

2003年1月-2004年12月湖南省自然科学基金（负责）　　

2002年11月-2003年11月欧盟第五框架项目（主研）　　

2002年1月-2003年12月湖南大学科研基金重点项目（负责）　　

2001年5月-2001年10月香港特别行政区RGC项目（主研）

学术论文

Ting Lu,Shutao Li,Leyuan Fang, Yi Ma, and Jon AtliBenediktsson. Spectral-Spatial Adaptive Sparse Representation for Hyperspectral Image Denoising. IEEE Transactions on 地球科学 and Remote Sensing, 2015, submitted.

Wei Fu, Shutao Li,Leyuan Fang, Xudong Kang, and Jon AtliBenediktsson. Hyperspectral Classification via Shape-Adaptive Sparse Representation. IEEE Journal of Selected Topics in Applied 地球 Observations and Remote Sensing, 2015, submitted.

Haicang Liu, Shutao Li, and Leyuan Fang. Robust Object Tracking based on Principal Component Analysis and Local Sparse Representation. IEEE Transactions on Instrumentation and Measurement, 2015, submitted.

Jaime Zabalza, JinchangRen, JiangbinZheng, Junwei Han, Jun Wang, Huimin Zhao, Shutao Li, and Stephen Marshall. Novel Two Dimensional Singular Spectrum Analysis for Effective Feature Extraction and 数据 Classification in Hyperspectral Imaging. IEEE Transactions on 地球科学 and Remote Sensing, 2015, accepted. (IEEE TGRS, SCI,EI)

Haitao Yin and Shutao Li. Pansharpening with Multi-scale Normalized Non-local Means Filter: A Two-step Approach. IEEE Transactions on 地球科学 and Remote Sensing, 2015, accepted. (IEEE TGRS, SCI,EI)

[6]Leyuan Fang and Shutao Li. Face Recognition by Exploiting Local Gabor Features with Multi-task Adaptive Sparse Representation. IEEE Transactions on Instrumentation and Measurement, 2015, accepted. (IEEE TIM, SCI,EI)

Leyuan Fang, Shutao Li, Xudong Kang,Joseph A. Izatt, and SinaFarsiu. 3-D Adaptive Sparsity Based Image Compression with Applications to Optical Coherence Tomography. IEEE Transactions on Medical Imaging. (IEEE TMI, in press, DOI 10.1109/TMI.2014.2387336,SCI,EI)

[8]Xudong Kang, Shutao Li,Leyuan Fang, and Jon AtliBenediktsson. Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Stock Images IEEE Transactions on 地球科学 and Remote Sensing, 2015, 53(4):2241-2253. (IEEE TGRS, SCI,EI)

[9]Xudong Kang, Shutao Li,Leyuan Fang, Meixiu Li and Jon AtliBenediktsson.Extended Random Walker-Based Classification of Hyperspectral Stock Images IEEE Transactions on 地球科学 and Remote Sensing, 2015, 53(1):144-153. (IEEE TGRS, SCI,EI)

[10]Haicang Liu and Shutao Li. Target Detection Using Sparse Representation with Element and Construction 组合 Feature. IEEE Transactions on Instrumentation and Measurement, 2015, 64(2):290-298. (IEEE TIM, SCI,EI)

[11]Leyuan Fang, Shutao Li, Xudong Kang, and Jon AtliBenediktsson. Spectral–Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation. IEEE Transactions on 地球科学 and Remote Sensing, 2014, 52(12):7738-7749. (IEEE TGRS, SCI,EI)

[12]Xudong Kang, Shutao Li, and Jon AtliBenediktsson. Pansharpeningwith Matting Model. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(8):5088-5099. (IEEE TGRS, SCI,EI)

[13]Xudong Kang, Shutao Li, and Jon AtliBenediktsson. Feature Extraction of Hyperspectral Images with Image Fusion and Recursive Filtering. IEEE Transactions on 地球科学 and Remote Sensing, 2014, 52(6):3742-3752. (IEEE TGRS, SCI,EI)

[14]Bin Sun, Shutao Li and Jun Sun. Scanned Image Descreening With Image Redundancy and Adaptive Filtering. IEEE Transactions on Image Processing, 2014, 23(8):3698-3710. (IEEE TIP, SCI,EI)

[15]Xudong Kang, Shutao Li, and Jon AtliBenediktsson. Spectral-spatial Hyperspectral Image Classification with Edge Preserving Filtering. IEEE Transactions on 地球科学 and Remote Sensing, 2014, 52(5): 2666-2677. (IEEE TGRS, SCI,EI)

[16]Shutao Li and Dan Wei. Extremely High Dimensional Feature Selection via Feature Generating Samplings. IEEE Transactions on Cybernetics, 2014, 44(6): 737-747. (IEEE TSMC B,SCI,EI)

[17]Weirong Liu and Shutao Li. Sparse Representation with Morphologic Regularizations for Single Image Super-Resolution. Singal Processing, 2014, 98:410-422. (SCI,EI)

[18]Weirong Liu and Shutao Li. Extraction of Lane Markings Using Orientation and Vanishing 小数点 Constraints in Structured RoadScenes. International Journal of 计算机数学, 2014, 91(11): 2359-2373. (IJCM, SCI,EI)

[19]Bin Yang andShutao Li. Visual Attention Guided Image Fusion with Sparse Representation. Optik, 2014, 125(17): 4881-4888. (SCI,EI)

[20]Xudong Kang, Shutao Li, Leyuan Fang and Jon AtliBenediktsson. Pansharpening Based on Intrinsic Image Decomposition. Sensing and Imaging, 2014, 15(1):1-10. (EI)

[21]Ting Lu, Shutao Li, and Wei Fu. Fusion Based Seamless 绣花脊熟若蟹 for Remote Sensing Stock Images Sensing and Imaging, 2014, 15(1):1-14. (EI)

[22]Leyuan Fang, Shutao Li, Ryan P. McNabb‎, Qing Nie, Anthony N. Kuo, Cynthia A. Toth,Joseph A. Izatt, and SinaFarsiu. Fast Acquisition and Reconstruction of Optical 相干性 Tomography Images via Sparse Representation. IEEE Transactions on Medical Imaging, 2013, 32(11):2034-49. (IEEE TMI, SCI,EI)

[23]Shutao Li, Xudong Kang and Jianwen Hu. Image Fusion with Guided Filtering. IEEE Transactions on Image Processing，2013, 22(7):2864-2875. (IEEE TIP, in press, SCI,EI)

[24]Shutao Li, Haitao Yin and Leyuan Fang. Remote Sensing Image Fusion via Sparse Representations over Learned Dictionaries. IEEE Transactions on 地球科学 and Remote Sensing，2013, 51(9):4779-4789. (IEEE TGRS, in press, SCI,EI)

[25]Shutao Li, Dayi Gong and Yuan Yuan. Face recognition with Local Descriptors. Neurocomputing, 2013, 122:272-283.( SCI,EI)

[26]Weirong Liu and Shutao Li. Multi-morphology Image Super-Resolution via Sparse Representation.Neurocomputing, 2013, 120:645-654. ( SCI,EI)

[27]Haicang Liu and Shutao Li. Decision fusion of sparse representation and support vector machine for SAR image target recognition. Neurocomputing, 2013, 113:97-104. (SCI,EI)

[28]Haitao Yin, Shutao Li, and Leyuan Fang. Simultaneous Image Fusion and Super-Resolution Using Sparse Representation. Information Fusion, 2013, 14(3):229-240. (SCI,EI)

[29]Haicang Liu and Shutao Li. Infrared surveillance image super resolution via group sparse representation. Optics Communications, 2013, vol.289, pp.45-52. (SCI,EI)

[30]Haitao Yin, Shutao Li, and Leyuan Fang. Block-sparse compressed sensing: non-convex model and iterative re-weighted algorithm. Inverse Problems in Science & Engineering, 2013, 21(1):141-154. (SCI,EI)

[31]Shutao Li, Xudong Kang, Jianwen Hu and Bin Yang. Image matting for fusion of multi-focus images in dynamic scenes, Information Fusion, 2013, 14(2):147-162. ( SCI,EI)

[32]Shutao Li, Haitao Yin, and Leyuan Fang. Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion. IEEE Transactions on Biomedical Engineering，2012, 59(12):3450-3459.(IEEE TBME, SCI,EI)

[33]Shutao Li, Leyuan Fang and Haitao Yin. An Efficient Dictionary Learning Algorithm and Its Application to 3-D Medical Image Denoising. IEEE Transactions on Biomedical Engineering, 2012, 59(2):417-427. (IEEE TBME, SCI,EI)

[34]Shutao Li and Leyuan Fang. Signal denoising with random refined orthogonal matching pursuit. IEEE Transactions on Instrumentation and Measurement, 2012, 61(1):26-34.(IEEE TIM, SCI,EI)

[35]Shutao Li, Xudong Kang. Fast Multi-exposure Image Fusion with Median Filter and Recursive Filter. IEEE Transactions on Consumer 电子学, 2012,58(2):626-632. (IEEE TCE, SCI,EI)

[36]Shutao Li, Leyuan Fang and Haitao Yin. Multitemporal Image Change Detection Using a Detail-Enhancing Approach withNonsubsampledContourlet Transform. IEEE 地球科学 and Remote Sensing Letters, 2012,9(5):836-840. (IEEE GRSL, SCI,EI)

Jianwen Hu and Shutao Li. The multiscale directional bilateral filter and its application to multisensor image fusion. Information Fusion, 2012, 13(3):196-206. (SCI,EI)

[38]Bin Yang and Shutao Li. Pixel-level Image Fusion with Simultaneous Orthogonal Matching Pursuit. Information Fusion, 2012, 13(1):10-19. (SCI,EI)

[39]Leyuan Fang, Shutao Li, Qing Nie, Joseph A. Izatt, Cynthia A. Toth, and SinaFarsiu. Sparsity Based Denoising of Spectral Domain Optical 相干性 Tomography Stock Images Biomedical Optics Express, 2012,3(5):927-942. (SCI,EI)

[40]Dan Wei, Shutao Li, Mingkui Tan. Graph Embedding Based Feature Selection.Neurocomputing, 2012, 93(15):115-125. (SCI,EI)

Shutao Li, Mingkui Tan, Ivor W. Tsang, and James T. Kwok. A hybrid PSO-BFGS strategy for global optimization of multimodal functions. IEEE Transactions on Systems, Man and Cybernetics - Part B, 2011, 41(4): 1003-1014. (IEEE TSMC B, SCI,EI)

[42]Shutao Li and Bin Yang. A New pansharpening Method Using Compressed Sensing Technique. IEEE Transactions on 地球科学 and Remote Sensing，2011，49(2):738-746. (IEEE TGRS, SCI,EI)

[43]Shutao Li, Bin Yang, and Jianwen Hu. 表演 Comparison of Different Multi-resolution Transforms for Image Fusion. Information Fusion, 2011, 12(2): 74-84. (SCI,EI)

Shutao Li and Ming Zhao. Image Inpainting With Salient Structure Completion and Texture Propagation. Pattern Recognition Letters, 2011, 32(9): 1256-1266. (SCI,EI)

Haitao Yin and Shutao Li. Multimodal Image Fusion with Joint Sparsity Model. Optical Engineering，2011, 50(6): 067007,1-10.（SCI,EI)

[46]Bin Yang and Shutao Li. Multifocus Image Fusion and Restoration with Sparse Representation. IEEE Transactions on Instrumentation and Measurement, 2010, 59(4): 884-892. (IEEE TIM, SCI,EI)

[47]Shutao Li and Bin Yang. Hybrid Multiresolution Method for Multisensor Multimodal Image Fusion. IEEE Sensors Journal, 2010, 10(9): 1519-1526. (SCI,EI)

[48]Ming Zhao, Shutao Li and James Kwok. Text detection in images using sparse representation with discriminative dictionaries. Image and Vision Computing, 2010, 28(12): 1590-1599. (SCI,EI)

[49]Shutao Li and Mingkui Tan. Tuning multiple Parameters of SVM using a Hybrid CLPSO-BFGS.Neurocomputing, 2010, 73(10-12): 2089-2096. (SCI)

[50]Shutao Li and Bin Yang. Multifocus Image Fusion by Combining Curvelet and Wavelet Transform. Pattern Recognition Letters, 2008, 29(9): 1295-1301.(SCI)

[51]Shutao Li, Xixian Wu, Xiaoyan Hu. Gene Selection using Genetic Algorithm and Support 向量 Machines. Soft Computing, 2008, 12(7): 693-698. (SCI)

[52]Shutao Li and Bin Yang. Multifocus Image Fusion using Region Segmentation and Spatial 频率 Image and Vision Computing, 2008, 26(7):971-979. (SCI).

Shutao Li, Xixian Wu, Mingkui Tan. Gene Selection using Hybrid Particle Swarm Optimization and Genetic Algorithm. Soft Computing, 2008, 12(11): 1039-1048. (SCI)

[54]Shutao Li, 日本烟草产业 Kwok, I.W. Tsang, Y. Wang. Fusing Images with Different Focuses using Support 向量 Machines. IEEE Transactions on Neural Networks, 2004, 15(6):1555-1561. (IEEE TNN, SCI)

[55]Shutao Li, James T. Kwok, Hailong Zhu, Yaonan Wang. Texture Classification using Support Vector Machines. Pattern Recognition, 2003, 36(12):2883-2893. (SCI)

[56]Shutao Li, James T. Kwok, Yaonan Wang. Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic Stock Images Information Fusion, 2002, 3(1):17-23.

[57]Shutao Li, James T. Kwok, Yaonan Wang. Combination of Images with Diverse Focus using Spatial 频率 Information Fusion, 2001, 2(3):169-176.

社会活动

国际会议

Bin Sun, Shutao Li, Jun Sun. Blind Bleed-Through Removal for Scanned Historical Document Images With Conditional Random Fields. the40th IEEE International Conference on 声学, Speech and Signal Processing (ICASSP), Brisbane, Australia, 2015(Accepted).

Xudong Kang, Shutao Li, Meixiu Li, and Jon AtliBenediktsson. Extended Random Walkers for Hyperspectral Image Classification, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Quebec, Canada, 2014 (Oral).

Wei Fu, Shutao Li, Leyuan Fang, Xudong Kang and Jon AtliBenediktsson. Spectral-Spatial Hyperspectral Classification via Shape-adaptive Sparse Representation, IEEE International 地球科学 and Remote Sensing Symposium (IGARSS), Quebec, Canada, 2014.

[4]Xudong Kang, Shutao Li, Jianwen Hu. Fusing Soft-decision-adaptive and Bicubic Methods for Image Interpolation. ICPR 2012: 1043-1046.

Yin Xiang, Shutao Li. Symmetric Object Detection Based on Symmetry and Centripetal-SIFT Edge Descriptor. ICPR 2012: 1403-1406.

Li Chen, Hui Lin, Shutao Li. Depth Image Enhancement for Kinect Using Region Growing and Bilateral Filter. ICPR 2012: 3070-3073.

[7]Ting Lu, Shutao Li. Image Matting with Color and Depth Information. ICPR 2012: 3787-3790.

[8]Haitao Yin, Shutao Li, Jianwen Hu. Single Image Super Resolution via Texture Constrained Sparse Representation. ICIP 2011: 1161-1164.

Jianwen Hu, Shutao Li. Fusion of Panchromatic and Multispectral Images Using Multiscale Dual Bilateral Filter. ICIP 2011: 1489-1492.

[10]Leyuan Fang, Shutao Li, Jianwen Hu. Multitemporal Image Change Detection with Compressed Sparse Representation. ICIP 2011: 2673-2676.

[11]Shutao Li, Leyuan Fang. An Efficient Learned Dictionary and Its Application to Non-local Denoising. ICIP 2010: 1945-1948.

专业活动

Associate Editor, IEEE Transactions on 地球科学 and Remote Sensing (2014–Current)

Member of Editorial Board, Information Fusion(2013–Current)

Member of Editorial Board, Sensing and Imaging(2013–Current)

Member of Editorial Board, Science and Technology Review (in Chinese, 2015–Current)

Member, IEEE (2007–Current)

Standing Director, China Society of Image and Graphics(2012–Current)

Vice Director, Hunan Society of 自动化技术 (2012–Current)

社会任职

入选教育部“长江学者”奖励计划特聘教授，国家“万人计划”科技创新领军人才，中华人民共和国教育部科学技术委员会信息学部委员，中国图像图形学会常务理事，湖南省自动化学会副理事长，IEEE Senior Member, IEEE GRSS 长沙市 Chapter Chair，Elsevier中国高被引学者。受邀担任 IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Instrumentation and Measurement，Information Fusion 等国际著名期刊编委。