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