1. Exploring Representativeness and Informativeness for Active Learning
    B. Du, Z. Wang, L. Zhang, etc.. IEEE Transactions on Cybernetics: 2015 ,vol. 99 ,pp. 1-13 下载全文
  2. A discriminative metric learning based anomaly detection method
    B. Du and L. Zhang. IEEE Transactions on Geoscience and Remote Sensing: 2014 ,vol.52,no.11 ,pp.6844-6857 下载全文
  3. Stacked Convolutional Denoising Auto-Encoders for Feature Representation
    B. Du, W. Xiong, L. Zhang, etc.. IEEE Transactions on Cybernetics: 2016 ,vol. 99 ,pp. 1-11 下载全文
  4. Target detection based on a dynamic subspace
    B. Du and L. Zhang. Pattern Recognition: 2014 ,vol. 47, no. 1 ,pp.344-358 下载全文
  5. Random-Selection-Based Anomaly Detector for Hyperspectral Imagery
    B. Du, L. Zhang. IEEE Transactions on Geoscience and Remote Sensing: 2011 ,vol. 49, no. 5 ,pp.1578-1589 下载全文
  6. Spatial Coherence Based Batch-Mode Active Learning for Remote Sensing Images Classification
    Q. Shi, B. Du, and L. Zhang. IEEE Transactions on Image Processing: 2015 ,vol. 24 ,pp.2037-2050 下载全文
  7. Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach
    B. Du, S. Wang, N. Wang, et al.. Neurocomputing: 2016 ,vol.204 ,pp.153–161 下载全文
  8. A spectral-spatial based local summation anomaly detection method for hyperspectral images
    B. Du, R. Zhao, L. Zhang, et al.. Signal Processing: 2016 ,vol. 124 ,pp.115–131 下载全文
  9. A hypothesis independent subpixel target detector for hyperspectral Images
    B. Du, Y. Zhang, and L. Zhang. Signal Processing: 2015 ,vol. 110 ,pp. 244-249 下载全文
  10. Unsupervised transfer learning for target detection from hyperspectral images
    B. Du, L. Zhang, D. Tao, and D. Zhang. Neurocomputing: 2013 ,vol. 120 ,pp. 72-82 下载全文
  11. A Discriminative Manifold Learning Based Dimension Reduction Method for Hyperspectral Classification
    B. Du, L. Zhang, L. Zhang, T. Chen, K. Wu. International Journal of Fuzzy Systems: 2012 ,vol. 14, no. 2 ,pp, 272-277 下载全文
  12. Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF
    [12] R. Liu, B. Du, and L. Zhang. Remote Sensing: 2016 ,vol. 8, no. 6 下载全文
  13. A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification
    Z. Wang, B. Du, L. Zhang, and L. Zhang. Neurocomputing: 2016 ,vol. 179 ,pp. 88-100 下载全文
  14. Ensemble Manifold Regularized Sparse Low-Rank Approximation for Multiview Feature Embedding
    L Zhang, Q Zhang, L Zhang, D Tao, X Huang, B Du*. Pattern Recognition: 2015 ,vol. 48, no. 10 ,pp. 3102-3112 下载全文
  15. Compression of hyperspectral remote sensing images by tensor approach
    L. Zhang, L. Zhang, D. Tao, X. Huang, B. Du. Neurocomputing: 2015 ,vol. 147 ,pp. 358-363 下载全文
  16. Hyperspectral anomaly change detection with slow feature analysis
    C. Wu, L. Zhang, and B. Du. Neurocomputing: 2015 ,vol. 151 ,pp. 175-187 下载全文
  17. A sparse and discriminative tensor to vector projection for human gait feature representation
    L. Zhang, L. Zhang, D. Tao, B. Du. Signal Processing: 2015 ,vol. 106 ,pp. 245–252 下载全文
  18. Maximum margin metric learning based target detection for hyperspectral images
    Y. Dong, L. Zhang, L. Zhang, B. Du. ISPRS Journal of Photogrammetry and Remote Sensing: 2015 ,vol. 108 ,pp. 138–150 下载全文
  19. Endmember number estimation for hyperspectral imagery based on vertex component analysis
    R. Liu, B. Du, L. Zhang. Journal of Applied Remote Sensing: 2014 ,vol. 8, no. 1 ,pp. 085093-085093 下载全文
  20. Hybrid Detectors Based on Selective Endmembers
    L. Zhang, B. Du, and Y. Zhong. IEEE Transactions on Geoscience and Remote Sensing: 2010 ,vol. 48, no. 6 ,pp. 2633-2646 下载全文
  21. An Abundance Characteristic Based Independent Component Analysis for Hyperspectral Unmxing
    N. Wang, B. Du, L. Zhang. IEEE Transactions on Geoscience and Remote Sensing: 2015 ,vol. 53, no. 1 ,pp. 416-428 下载全文
  22. A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images
    Y. Zhang, B. Du, and L. Zhang. IEEE Transactions on Geoscience and Remote Sensing: 2015 ,vol. 53, no. 3 ,pp. 1346-1354 下载全文
  23. Efficient Compressed Sensing Tracking via Mixed Classifiers Decision
    H. Sun, J. Li, J. Chang, B. Du, et al.. SCIENCE CHINA Information Sciences: 2015
  24. Slow Feature Analysis for Change Detection in Multispectral Imagery
    C. Wu, B. Du, and L. Zhang. IEEE Transactions on Geoscience and Remote Sensing: 2014 ,vol. 52, no. 5 ,pp. 2858-2874 下载全文
  25. Semisupervised Discriminative Locally Enhanced Alignment for Hyperspectral Image Classification
    Q. Shi, L. Zhang, and B. Du. IEEE Transactions on Geoscience and Remote Sensing: 2013 ,vol. 51, no. 9 ,pp. 4800-4815 下载全文
  26. Automatic radiometric normalization for multitemporal remote sensing imagery with iterative slow feature analysis
    L. Zhang, C. Wu, and B. Du. IEEE Transactions on Geoscience and Remote Sensing: 2014 ,vol. 52, no. 10 ,pp. 6141-6155 下载全文
  27. Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric Learning
    L. Zhang, L. Zhang, D. Tao, X. Huang, and B. Du. IEEE Transactions on Geoscience and Remote Sensing: 2014 ,vol. 52, no. 8 ,pp. 4955-4965 下载全文
  28. A Background Self-Learning Framework for Unstructured Target Detectors
    T. Wang, B. Du, and L. Zhang. IEEE Geoscience and Remote Sensing Letters: 2013 ,vol. 10, no. 6 ,pp. 1577-1581 下载全文
  29. A Kernel-Based Target-Constrained Interference-Minimized Filter for Hyperspectral Sub-Pixel Target Detection
    T. Wang, B. Du, and L. Zhang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2013 ,vol. 6, no. 2 ,pp. 626-637 下载全文
  30. An Endmember Dissimilarity Constrained Non-Negative Matrix Factorization Method for Hyperspectral Unmixing
    N. Wang, B. Du, and L. Zhang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2013 ,vol. 6, no. 2 ,pp. 554-569 下载全文
  31. A Subspace-Based Change Detection Method for Hyperspectral Images
    C. Wu, B. Du, and L. Zhang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2013 ,vol. 6, no. 2 ,pp. 815-830 下载全文
  32. Regularization Framework for Target Detection in Hyperspectral Imagery
    Y. Zhang, B. Du, and L. Zhang. IEEE Geoscience and Remote Sensing Letters: 2014 ,vol.11, no.1 ,pp. 313-317 下载全文
  33. A Robust Nonlinear Hyperspectral Anomaly Detection Approach
    R. Zhao, B. Du, and L. Zhang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2014 ,vol. 7, no. 4 ,pp. 1227-1234 下载全文
  34. Spatial-Spectral Information Based Abundance-Constrained Endmember Extraction Methods
    M. Xu, B. Du, and L. Zhang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2014 ,vol. 7, no. 6 ,pp. 2004-2015 下载全文
  35. An Automatic Robust Iteratively Reweighted Unstructured Detector for Hyperspectral Imagery
    T. Wang, B. Du, L. Zhang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2014 ,vol. 7, no. 6 ,pp. 2367-2382 下载全文
  36. A Nonlinear Sparse Representation Based Binary Hypothesis Model for Hyperspectral Target Detection
    Y. Zhang, B. Du, and L. Zhang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2014 下载全文
  37. An Image-Based Endmember Bundle Extraction Algorithm Using Both Spatial and Spectral Information
    M. Xu, L. Zhang, and B. Du. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2015 下载全文
  38. Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imagery
    K. Wu*, L. Zhang, R. Niu, B. Du. Optical Engineering: 2011 ,vol.50, no.12 ,pp.1-14 下载全文
  39. Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China
    T. Chen, R. Niu, P. Li, L. Zhang, B. Du. Environmental Earth Sciences: 2011 ,vol. 63, no. 3 ,pp. 533-541 下载全文
  40. MMFE: Multitask Multiview Feature Embedding
    Q. Zhang, L. Zhang, B. Du, et al.. 2015 IEEE International Conference on Data Mining (ICDM): 下载全文
  41. Impact of fractional vegetation cover change on soil erosion in Miyun reservoir basin, China
    R. Niu, B. Du, Y. Wang, L. Zhang, and T. Chen. Environmental Earth Sciences: 2014 ,vol. 72, no.8 ,pp. 2741-2749 下载全文
  42. An Image-Based Endmember Bundle Extraction Algorithm Using Reconstruction Error for Hyperspectral Imagery
    M. Xu, L. Zhang, B. Du, and L. Zhang. Neurocomputing: 下载全文
  43. A hybrid chaos-particle swarm optimization algorithm for the vehicle routing problem with time window
    W. Hu, H. Liang, C. Peng, B. Du, and Q. Hu. Entropy: 2013 ,vol. 15, no. 14 ,pp. 1247-1270 下载全文
  44. An on‐demand data broadcasting scheduling algorithm based on dynamic index strategy
    W. Hu*, C. Fan, J. Luo, C. Peng, and B. Du. Wireless Communications and Mobile Computing: 2013 ,vol. 13, no. 10 下载全文
  45. A multi-intersection model and signal timing plan algorithm for urban traffic signal control
    W. Hu*, H. Wang, B. Du, and L. Yan. Transport: 2014 ,pp. 1-11 下载全文
  46. A hybrid column generation algorithm based on metaheuristic optimization
    W. Hu, B. Du, Y. Wu, H. Liang, C. Peng, and Q. Hu. Transport: 2013 ,pp. 1-19 下载全文
  47. An outer–inner fuzzy cellular automata algorithm for dynamic uncertainty multi-project scheduling problem
    W. Hu, H. Wang, C. Peng, H. Wang, H. Liang, and B. Du. Soft Computing: 2014 ,pp. 1-22 下载全文
  48. Band Selection Using Improved Sparse Subspace Clustering for Hyperspectral Imagery Classification
    Sun, W.; Zhang, L.; Du, B.; Li, W.; Mark Lai, Y.. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2015 ,no. 99 ,pp. 1–14 下载全文
  49. SCDAE: Stacked Convolutional Denoising Autoencoders towards Robust Unsuperived Feature Representation
    W. Xiong, B. Du, L Zhang, et al.. 2016 The Annual International Joint Conference on Neural Networks(IJCNN):
  50. Sparse Tensor Discriminative Locality Alignment for Gait Recognition
    N. Zhao, L. Zhang and B. Du,. 2016 The Annual International Joint Conference on Neural Networks(IJCNN):
  51. R2FP: rich and robust feature pooling for mining visual data
    W. Xiong, B. Du, L Zhang, et al.. 2015 IEEE International Conference on Data Mining (ICDM): 下载全文
  52. Assessment of spatial distribution of soil loss over the upper basin of Miyun reservoir in China based on RS and GIS techniques
    T. Chen*, R. Niu, Y. Wang, P. Li, L. Zhang, B. Du. Environmental Monitoring and Assessment: 2011 ,vol. 179 ,pp. 605-617 下载全文
  53. Hyperspectral biological images compression based on multiway tensor projection
    B. Du, M. Zhang, L. Zhang, X. Li. in 2014 IEEE International Conference on Multimedia and Expo, ICME 2014: 下载全文
  54. A Spectral Dissimilarity Constrained Nonnegative Matrix factorization based Cancer Screening Algorithm from Hyperspectral Fluorescence Images
    B. Du, N. Wang, and D. Tao. in 2012 International Conference on Computerized Healthcare (ICCH 2012): 下载全文
  55. Hyperspectral medical images unmixing for cancer screening based on rotational independent component analysis
    B. Du, N. Wang, and D. Tao. in International Conference on Intelligence Science and Big Data Engineering (IScIDE 2013): 下载全文
  56. A Manifold Learning based Feature Extraction Method for Hyperspectral Classification
    B. Du, L. Zhang, and L. Zhang. in Second International Conference on Information Science and Technology, vol. ISSU: 2012 下载全文
  57. A structured sub-pixel target detection method base on manifold learning method
    B. Du, D. Zhang, P. Li, T. Chen, and K. Wu. Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis: 下载全文
  58. An Unstructured Sub-pixel Target Detector for Hyperspectral Imagery
    B. Du, K. Wu, L. Zhang, and T. Chen. in 2010 International Conference on Computer Application and System Modeling: 下载全文
  59. Robust Metric based Anomaly Detection in Kernel Feature Space
    B. Du, and L. Zhang. in XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012): 下载全文
  60. An novel active learning strategy for hyperspectral image classification
    Q. Shi, B. Du and L. Zhang. in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012): 下载全文
  61. Targeted Change Detection For Stacked Multi-Temporal Hyperspectral Image
    C. Wu, L. Zhang and B. Du. in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012): 下载全文
  62. An Endmember Dissimilarity Based Non-negative Matrix Factorization Method for Hyperspectral Unmixing
    N. Wang, L. Zhang and B. Du. in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012): 下载全文
  63. An endmember extraction framework based on abundance constraint
    M. Xu, L. Zhang and B. Du. in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012): 下载全文
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