武汉大学计算机学院博士生导师简介：杜博

　　[8] B. Du, S. Wang, N. Wang*, et al., “Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach,” Neurocomputing, vol. 204, pp. 153–161, September 2016.

　　[9] B. Du, R. Zhao, L. Zhang, et al., “A spectral-spatial based local summation anomaly detection method for hyperspectral images,” Signal Processing, vol. 124, pp. 115–131 July 2016.

　　[10] B. Du, Y. Zhang, and L. Zhang*, “A hypothesis independent subpixel target detector for hyperspectral Images,” Signal Processing, vol. 110, pp. 244-249, May, 2015.

　　[11] B. Du*, L. Zhang, D. Tao, and D. Zhang, "Unsupervised transfer learning for target detection from hyperspectral images," Neurocomputing, vol. 120, pp. 72-82, Nov 2013.

　　[12] B. Du*, L. Zhang, L. Zhang, T. Chen, K. Wu, “A Discriminative Manifold Learning Based Dimension Reduction Method for Hyperspectral Classification,” International Journal of Fuzzy Systems, vol. 14, no. 2, pp, 272-277, Jun. 2012.

　　[13] Q. Shi, B. Du*, and L. Zhang, “Spatial Coherence Based Batch-Mode Active Learning for Remote Sensing Images Classification,” IEEE Transactions on Image Processing, vol. 24, pp. 2037-2050, July, 2015.

　　[14] W. Xiong, B. Du*, etc., “Combining Local and Global: Rich and Robust Feature Pooling for Visual Recognition,” Pattern Recognition, 2016, DOI: 10.1016/j.patcog.2016.08.006.

　　[15] L. Zhang, X. Zhu, L. Zhang, and B. Du*, "Multidomain Subspace Classification for Hyperspectral Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 10, pp. 6138-6150, Oct. 2016.

　　[16] Y. Zhang, B. Du*, T. Liu, and L. Zhang, “Joint Sparse Representation and Multi-Task Learning for Hyperspectral Target Detection,” IEEE Transactions on Geoscience and Remote Sensing, 2016, DOI: 10.1109/TGRS.2016.2616649, 2016.

　　[17] R. Zhao, B. Du*, L. Zhang, “A Robust Background Regression Based Score Estimation Algorithm for Hyperspectral Anomaly Detection,” ISPRS Journal of Photogrammetry and Remote Sensing, 2016, DOI:10.1016/j.isprsjprs.2016.10.006, 2016.

　　[18] L. Zhang, Q. Zhang, B. Du*, ect., “Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images,” IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2016.2605044, 2016.

　　[19] R. Liu, B. Du*, and L. Zhang, “Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF,” Remote Sensing, vol. 8, no. 6, DOI: 10.3390/rs8060464, 2016.

　　[20] Z. Wang, B. Du*, L. Zhang, and L. Zhang, “A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification”, Neurocomputing, vol. 179, pp. 88-100, February 2016.

　　[21] L Zhang, Q Zhang, L Zhang, D Tao, X Huang, B Du*, “Ensemble Manifold Regularized Sparse Low-Rank Approximation for Multiview Feature Embedding,” Pattern Recognition, vol. 48, no. 10, pp. 3102-3112, Oct. 2015.

　　[22] L. Zhang, L. Zhang, D. Tao, X. Huang, B. Du*, “Compression of hyperspectral remote sensing images by tensor approach,” Neurocomputing, vol. 147, pp. 358-363, Jan 2015.

　　[23] C. Wu, L. Zhang, and B. Du*, "Hyperspectral anomaly change detection with slow feature analysis," Neurocomputing, vol. 151, Part 1, pp. 175-187, Mar. 2015.

　　[24] L. Zhang, L. Zhang, D. Tao, B. Du*, “A sparse and discriminative tensor to vector projection for human gait feature representation,” Signal Processing, vol. 106, pp. 245–252, Jan 2015.

　　[25] Y. Dong, L. Zhang, L. Zhang, B. Du*, “Maximum margin metric learning based target detection for hyperspectral images,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 108, pp. 138–150, Oct 2015。

　　[26] R. Liu, B. Du*, L. Zhang, "Endmember number estimation for hyperspectral imagery based on vertex component analysis," Journal of Applied Remote Sensing，vol. 8, no. 1, 085093, vol. 8, no. 1, pp. 085093-085093, Sep 2014.

　　近5年发表CCF推荐国际会议论文：

　　[1] L. Zhang, Q. Zhang, B. Du*, ect., “Robust manifold matrix factorization for joint clustering and feature extraction,” the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17). (CCF A)

　　[2] Z Wang, B Du*, L Zhang, L Zhang, M Fang, D Tao, “Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling,” 2016 European Conference on Computer Vision(ECCV), pp. 453-468. (CCF B)

　　[3] W. Xiong, B. Du*, L Zhang, et al., “SCDAE: Stacked Convolutional Denoising Autoencoders towards Robust Unsuperived Feature Representation,” 2016 The Annual International Joint Conference on Neural Networks(IJCNN).(CCF C)

　　[4] N. Zhao, L. Zhang and B. Du*, “Sparse Tensor Discriminative Locality Alignment for Gait Recognition,” 2016 The Annual International Joint Conference on Neural Networks(IJCNN).(CCF C)

　　[5] W. Xiong, B. Du*, L Zhang, et al., “Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint” 2016 IEEE International Conference on Data Mining (ICDM).(CCF B)

　　[6] W. Xiong, B. Du*, L Zhang, et al., “R2FP: rich and robust feature pooling for mining visual data,” 2015 IEEE International Conference on Data Mining (ICDM), pp. 469-478.(CCF B)

　　[7] Q. Zhang, L. Zhang*, B. Du, et al., “MMFE: Multitask Multiview Feature Embedding,” 2015 IEEE International Conference on Data Mining (ICDM), pp. 1105-1110.(CCF B)

　　[8]B. Du, M. Zhang, L. Zhang*, X. Li, "Hyperspectral biological images compression based on multiway tensor projection," in 2014 IEEE International Conference on Multimedia and Expo, (ICME).(CCF B)

　　研究课题

　　[1] 国家“973”项目子课题 ，2012CB719905，“高分辨率数据精处理和空间信息智能转化的理论与方法”， 2012-2016，135万，主持。

　　[2] 国家自然科学基金面上项目，61471274， “稀疏表达和跨领域学习的高光谱遥感图像亚像元目标探测研究”，2015-2018，82万，主持。

　　[3] 国家自然科学基金重点项目，41431175，“数据驱动的高光谱遥感影像特征表达、迁移学习及其在城市地理信息提取中的应用”，2015-2018，80万，副组长。

　　[4] 国家自然科学基金青年基金项目，61102128，“端元可变的高光谱图像亚像元目标探测研究”，2011-2014，26万，主持。

　　[5] 湖北省自然科学基金，2014CFB193，“基于荧光图像模式识别的早期癌变区域探测研究”， 2015-2016，6万，主持。

　　[6] 中央高校基本科研业务费学科交叉项目，2042014kf0239，“模式识别理论与癌变细胞诊断”，2014-2015，30万，主持。

　　[7] 珞珈青年学者(特聘教授)专项基金，“模式识别理论与计算机视觉研究”，2013-2015，20万，主持。

　　[8] 中国博士后科学基金，2011T0123，“基于多特征和优化融合的高光谱影像异常目标探测研究”，2010-2012，3万，主持。

　　[9] 中国博士后特别资助，2012T50670，“基于多探测器优化融合高光谱影像林火探测研究”，2012-2014，15万，主持。

　　[10] 中国科学院数字地球重点实验室开放基金，2010LED006，“基于流形学习模型的图像亚像元目标探测研究”，2010-2011，6万，主持。

　　[11] 湖北省自然科学基金，2011CDB455，“基于多探测器优化融合的高光谱图像异常目标探测研究”，2011-2012，4万，主持。

　　[12] 湖北省博士后科技活动基金，180947，“基于优化融合的林区火情检测方法研究”，2012-2013，8万，主持。

　　[13] 中央高校基本科研业务费专项资金，111104，“亚像元目标探测研究”，2010-2011，5万，主持。

　　[14] 国防科大外协高分专项，250000148，“图像目标探测与分类技术”，2013-2014，20万，主持。

　　[15] 国家海洋局海洋专项，250000106，“极端大风、降水下海洋生态环境响应的综合影响评估方法研究及准业务化决策支持系统”， 2012-2014，19万，主持。

　　[16] 国家自然科学基金重点项目，40930532，“多源高分辨率卫星影像的几何精处理、特征提取与智能化分类”，2010-2014，5万，参与。

　　[17] 国家自然科学基金面上项目，41271376，“遥感影像大范围地表信息缺失区域的修复理论与方法研究”，2013-2016，2万，参与。

　　[18] 国家高技术研究发展计划(863)，“高光谱遥感影像的光谱分解、目标探测与定位技术研究”，2009-2010，副组长。

　　[19] 总参XX项目，“光学图像地物要素智能化提取技术”，2011-2013，5万，参与。