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学术专著
  1.  焦李成，张向荣，侯彪等. 智能SAR图像处理与解译, 科学出版社，2008.   
  2.  焦李成，冯婕，刘芳，杨淑媛，张向荣，高分辨遥感影像学习与感知，科学出版社，2017   
  3.  焦李成，公茂果，王爽，侯彪，刘芳，张向荣，周伟达，自然计算、机器学习与图像理解前沿，西安电子科技大学出版社，2008.   
  4.  焦李成，周伟达，薄列峰，张莉，缑水平，刘芳，张向荣，智能目标识别与分类，科学出版社，2010.   
  5.  张向荣，冯婕，刘芳，焦李成，模式识别，西安电子科技大学出版社，2020.
  6. Xiangrong Zhang, Fang Liu, Feature Selection based on Immune Clonal Algorithm (Invited chapter for the book ‘Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies’), Idea Group Inc., USA, 2008.
学术论文

详细论文列表可参考：Google Scholar、DBLP 。

  

 

  1. Xiaoqian Zhu, Xiangrong Zhang, Tianyang Zhang, Xu Tang, Puhua Chen, Huiyu Zhou, Licheng Jiao, “Temporal-Feedback Self-Training for Semi-Supervised Object Detection in Remote Sensing Images”,NEW IEEE Transactions on Geoscience and Remote Sensing, 2025 【Paper】
  2. Xu Tang, Yuexi Yao, Jingjing Ma, Xiangrong Zhang, Yuqun Yang, Bo Wang, Licheng Jiao, “SpiralMamba: Spatial-Spectral Complementary Mamba with Spatial Spiral Scan for Hyperspectral Image Classification”,NEW IEEE Transactions on Geoscience and Remote Sensing, 2025 【Paper】
  3. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Shunli Tian, Tianyang Zhang, Xu Tang, Licheng Jiao, “OraL: An Observational Learning Paradigm for Unsupervised Hyperspectral Change Detection,”NEW IEEE Transactions on Circuits and Systems for Video Technology, 2025 【Paper】
  4. Ruiqi Du, Xu Tang, Jingjing Ma, Xiangrong Zhang, Licheng Jiao, “MLMamba: A Mamba-based Efffcient Network for Multi-label Remote Sensing Scene Classiffcation,”NEW IEEE Transactions on Circuits and Systems for Video Technology, 2025 【Paper】
  5. Jingjing Ma, Wei Jiang, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao, “Multiscale Sparse Cross-Attention Network for Remote Sensing Scene Classiffcation,”NEW IEEE Transactions on Geoscience and Remote Sensing, 63 , 2025 【Paper】
  6. Ruiqi Du, Xu Tang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao, “Semantic-Assisted Feature Integration Network for Multilabel Remote Sensing Scene Classiffcation,”NEW IEEE Transactions on Geoscience and Remote Sensing, 63 , 2025 【Paper】
  7. Xiangrong Zhang, Wenhao Hong, Zhenyu Li, Xina Cheng, Xu Tang, Huiyu Zhou, Licheng Jiao,“Hierarchical Knowledge Graph for Multilabel Classiffcation of Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, 62, 2024 【Paper】
  8. Peng Zhu, Xiangrong Zhang, Xiao Han, Puhua Chen, Xu Tang, Xina Cheng, Licheng Jiao, “High-Resolution Remote Sensing Image Segmentation With Global-Guided Normalization and Local Afffnity Distillation,” IEEE Transactions on Geoscience and Remote Sensing, 62, 2024 【Paper】
  9. Xiangrong Zhang, Yifan Chen, Guanchun Wang, Yifang Zhang, Licheng Jiao, “EDDA: An Efffcient Divide-and-Conquer Domain Adapter for Automatics Modulation Recognition,” IEEE Journal of Selected Topics in Signal Processing, 2024 【Paper】
  10. Peng Zhu, Xiangrong Zhang, Xiao Han, Xina Cheng, Jing Gu, Puhua Chen, and Licheng Jiao, “Cross-Domain Classiffcation Based on Frequency Component Adaptation for Remote Sensing Images” Remote Sensing, 16, no. 12 (2024): 2134. 【Paper】
  11. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Tianyang Zhang, Xu Tang, Huiyu Zhou, Licheng Jiao, “Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation,” IEEE Transactions on Neural Networks and Learning Systems, 2024 【Paper】
  12. Tianyang Zhang, Xiangrong Zhang, Xiaoqian Zhu, Guanchun Wang, Xiao Han, Xu Tang, Licheng Jiao., “Multistage Enhancement Network for Tiny Object Detection in Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, 62, 2024 【Paper】
  13. Xiangrong Zhang, Zhenhang Weng, Peng Zhu, Xiao Han, Jin Zhu, Licheng Jiao, “ESDINet: Efffcient Shallow-Deep Interaction Network for Semantic Segmentation of High-Resolution Aerial Images,” IEEE Transactions on Geoscience and Remote Sensing, 62, 2024 【Paper】
  14. Yunpeng Li, Xiangrong Zhang, Xina Cheng, Xu Tang, Licheng Jiao. “Learning consensus-aware semantic knowledge for remote sensing image captioning.” Pattern Recognition, 145, 2024 【Paper】
  15. Xu Tang, Dabiao Huang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao, “Prior Experience-Based Vision-Language Model for Remote Sensing Image-Text Retrieval,” IEEE Transactions on Geoscience and Remote Sensing, 62, 2024 【Paper】
  16. Yijing Wang, Xu Tang, Jingjing Ma, Xiangrong Zhang, Cheng Zhu, Fang Liu, Licheng Jiao, “Pseudo-Viewpoint Regularized 3D Gaussian Splatting For Remote Sensing Few-Shot Novel View Synthesis,” IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (2024):8660-8663. 【Paper】
  17. Wei Jiang, Xu Tang, Zhixi Feng, Yue Ma, Jingjing Ma, Xiangrong Zhang, Licheng Jiao, “Multi-Scale Sparse Transformer for Remote Sensing Scene Classiffcation,” IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (2024):10084-10087. 【Paper】
  18. Yuqun Yang, Xu Tang, Xiangrong Zhang, Jingjing Ma, Yiu-Ming Cheung, Licheng Jiao, “FDLdet: A Change Detector Based on Forward Dictionary Learning for Remote Sensing Images,” IEEE Transactions on Geoscience and Remote Sensing, 62, 2024 【Paper】
  19. Yunqun Yang, Xu Tang, Jingjing Ma, Xiangrong Zhang, Shiji Pei, Licheng Jiao, “ECPS: Cross Pseudo Supervision Based on Ensemble Learning for Semi-Supervised Remote Sensing Change Detection,” IEEE Transactions on Geoscience and Remote Sensing, 62, 2024 【Paper】
  20. Yijing Wang, Xu Tang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao, “Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt,” IEEE Transactions on Neural Networks and Learning Systems, 2024 【Paper】
  21. Jingjing Ma, Yizhou Zou, Xu Tang, Xiangrong Zhang, Fang Liu, Licheng Jiao, “Spatial Pooling Transformer Network and Noise-Tolerant Learning for Noisy Hyperspectral Image Classiffcation,” IEEE Transactions on Geoscience and Remote Sensing, 62, 2024 【Paper】
  22. Jingjing Ma, Junyi Duan, Xu Tang, Xiangrong Zhang, Licheng Jiao, “EATDer: Edge-Assisted Adaptive Transformer Detector for Remote Sensing Change Detection,” IEEE Transactions on Geoscience and Remote Sensing, 62, 2024 【Paper】
  23. Zhu, Xiaoqian, Xiangrong Zhang, Tianyang Zhang, Xu Tang, Puhua Chen,Huiyu Zhou, Licheng Jiao, “Semantics and Contour Based Interactive Learning Network For Building Footprint Extraction.” IEEE Transactions on Geoscience and Remote Sensing, 61, 2023 【Paper】
  24. Xiangrong Zhang, Tianyang Zhang, Guanchun Wang, Peng Zhu, Xu Tang, Xiuping Jia, and Licheng Jiao, "Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances", IEEE Geoscience and Remote Sensing Magazine, 2023【Paper】
  25. Yunpeng Li, Xiangrong Zhang, Xina Cheng, Xu Tang, Licheng Jiao, "Learning consensus-aware semantic knowledge for remote sensing image captioning", Pattern Recognition, Volume 145, 2024, 109893, ISSN 0031-3203, doi: 10.1016/j.patcog.2023.109893.【Paper】【Code】
  26. Xiangrong Zhang, Shunli Tian, Guanchun Wang, Xu Tang, Jie Feng, Licheng Jiao, "CAST:A CAscade Spectral aware Transformer for Hyperspectral Image Change Detection", IEEE Transactions on Geoscience and Remote Sensing, 2023【Paper】【Code】
  27. Xiangrong Zhang, Qi Zhen, Zhenyu Li, Xiao Han, Puhua Chen, Xu Tang, and Licheng Jiao, "Spectral-Spatial Distribution Consistent Network based on Meta-learning for Cross-Domain Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, 2023 doi: 10.1109/TGRS.2023.3303319.【Paper】
  28. Xiangrong Zhang, Xiyu Fan, Guanchun Wang, Puhua Chen, Xu Tang and Licheng Jiao, "MFGNet: Multibranch Feature Generation Networks for Few-Shot Remote Sensing Scene Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, 2023, Art no. 5609613, doi: 10.1109/TGRS.2023.3275754.【Paper】【Code】
  29. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xiuping Jia, Xu Tang, and Licheng Jiao. "MOL: Towards accurate weakly supervised remote sensing object detection via Multi-view nOisy Learning", ISPRS Journal of Photogrammetry and Remote Sensing，2023, 196: 457-470.【Paper】【Code】
  30. Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xiuping Jia, Xu Tang, Licheng Jiao, "Generalized few-shot object detection in remote sensing images", ISPRS Journal of Photogrammetry and Remote Sensing, 2023, 195: 353-364. 【Paper】【Code】
  31. Guanchun Wang, Xiangrong Zhang, Peng Zhu, Xu Tang, Puhua Chen, Licheng Jiao, Huiyu Zhou, "High-Quality Angle Prediction for Oriented Object Detection in Remote Sensing Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023, Art no. 5614714, doi: 10.1109/TGRS.2023.3292111. 【Paper】【Code】
  32. Xiangrong Zhang, Yunpeng Li, Xin Wang, Feixiang Liu, Zhaoji Wu, Xina Cheng, and Licheng Jiao. "Multi-Source Interactive Stair Attention for Remote Sensing Image Captioning."  Remote Sensing, 15.3 (2023): 579. 【Paper】【Code】
  33. Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao."Unsupervised Outlier Detection Using Memory and Contrastive Learning", IEEE Transactions on Image Processing, 2022, 31: 6440-6454.【Paper】【Code】
  34. Ning Huyan, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, Licheng Jiao. "AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning", IEEE Transactions on Neural Networks and Learning Systems, 2022.【Paper】【Code】
  35. Ning Huyan, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, Licheng Jiao. "Cluster-memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection", IEEE Transactions on Geoscience and Remote Sensing, 2022. 【Paper】【Code】
  36. Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao. "Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information.", International Joint Conference on Artificial Intelligence (IJCAI), 2022.【Paper】【Code】
  37. Xiangrong Zhang, Ling He, Kai Qin, Qi Dang, Hongjie Si, Xu Tang, and Licheng Jiao. "SMD-Net: Siamese Multi-Scale Difference-Enhancement Network for Change Detection in Remote Sensing" Remote Sensing, 2022, 14, no. 7: 1580. https://doi.org/10.3390/rs14071580.【Paper】
  38. Xiangrong Zhang, Shutong Chen, Peng Zhu, Xu Tang, Jie Feng and Licheng Jiao, "Spatial Pooling Graph Convolutional Network for Hyperspectral Image Classification,"  IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 5521315, doi: 10.1109/TGRS.2022.3140353.【Paper】
  39. Tianyang Zhang; Xiangrong Zhang; Peng Zhu; Puhua Chen; Xu Tang; Chen Li; and Licheng Jiao. "Foreground Refinement Network for Rotated Object Detection in Remote Sensing Images." IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 5610013, doi: 10.1109/TGRS.2021.3109145.【Paper】
  40. Xiangrong Zhang; Zhenyu Li; Tianyang Zhang; Fengsheng Liu; Xu Tang; Puhua Chen; and Licheng Jiao. "Remote Sensing Image Super-Resolution via Dual-Resolution Network Based on Connected Attention Mechanism." IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 5611013, doi: 10.1109/TGRS.2021.3106681.【Paper】【Dataset 提取码：ipiu】【Code】
  41. Yunpeng Li; Xiangrong Zhang; Jing Gu; Chen Li; Xin Wang; Xu Tang; and Licheng Jiao. "Recurrent Attention and Semantic Gate for Remote Sensing Image Captioning." IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022, Art no. 5608816, doi: 10.1109/TGRS.2021.3102590.【Paper】【Code】
  42. Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, and Lichen Jiao. “Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation.” ACM International Conference on Multimedia (MM), 2021.【PDF】【Code】
  43. Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, and Huiyu Zhou. “Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images.” IEEE Transactions on Cybernetics, 2021, doi: 10.1109/TCYB.2021.3096185.【Paper】【Code】
  44. Xiaoxiao Ma, Xiangrong Zhang, Ning Huyan, Jing Gu, Xu Tang, and Licheng Jiao.“Background Representation Learning with Structural Constraint for Hyperspectral Anomaly Detection.” IEEE Geoscience and Remote Sensing Letters, 2021, vol. 19, pp. 1-5, 2022, Art no. 5505705, doi: 10.1109/LGRS.2021.3073176..【Paper】
  45. Xiangrong Zhang, Xiaoxiao Ma, Ning Huyan, Jing Gu, Xu Tang, and Licheng Jiao. “Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection.” IEEE Transactions on Geoscience and Remote Sensing, 59.12 (2021): 10364-10377.【Paper】
  46. Xiangrong Zhang, Shouwang Shang, Xu Tang, Jie Feng and Licheng. Jiao, "Spectral Partitioning Residual Network with Spatial Attention Mechanism for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, 2021, vol. 60, pp. 1-14, 2022, Art no. 5507714, doi: 10.1109/TGRS.2021.3074196.【Paper】【CODE】
  47. Xiangrong Zhang, Guanchun Wang, Peng Zhu, Tianyang Zhang, Chen Li and Licheng Jiao, "GRS-Det: An Anchor-Free Rotation Ship Detector Based on Gaussian-Mask in Remote Sensing Images," IEEE Transactions on Geoscience and Remote Sensing, 59.4 (2021): 3518-3531.【Paper】【CODE】
  48. Tang Xu, Fanbo Meng, Xiangrong Zhang, Yiu-ming Cheung, Jingjing Ma, Fang Liu, and Licheng Jiao. "Hyperspectral Image Classification Based on 3D Octave Convolution with Spatial-Spectral Attention Network." IEEE Transactions on Geoscience and Remote Sensing, 59.3 (2020): 2430-2447. (Highly Cited Paper, Hot Cited Paper)【CODE】
  49. Liu Chao, Jingjing Ma, Tang Xu, Fang Liu, Xiangrong Zhang, and Licheng Jiao. "Deep Hash Learning for Remote Sensing Image Retrieval." IEEE Transactions on Geoscience and Remote Sensing, 59.4 (2020): 3420-3443. 【CODE】
  50. Zhang, Jingyan, Xiangrong Zhang, Xu Tang, Puhua Chen, and Licheng Jiao. "Sketch-Based Region Adaptive Sparse Unmixing Applied to Hyperspectral Image." IEEE Transactions on Geoscience and Remote Sensing, 58.12 (2020): 8840-8856. 【PDF】
  51. Ma, Xiaoxiao, Xiangrong Zhang, Xu Tang, Huiyu Zhou, and Licheng Jiao. "Hyperspectral Anomaly Detection Based on Low-Rank Representation with Data-Driven Projection and Dictionary Construction." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13 (2020): 2226-2239.【PDF】
  52. Liu, Fang, Xu Tang, Xiangrong Zhang, Licheng Jiao, and Jia Liu. "Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode." IEEE Transactions on Geoscience and Remote Sensing, 59.1 (2020): 363-378.【PDF】
  53. Gu, Jing, Licheng Jiao, Fang Liu, Xiangrong Zhang, Xu Tang, and Puhua Chen. "Multi-Feature Weighted Sparse Graph for SAR Image Analysis." IEEE Transactions on Geoscience and Remote Sensing 58.2 (2020): 881-891. 【PDF】
  54. Tang, Xu, Chao Liu, Jingjing Ma, Xiangrong Zhang, Fang Liu, and Licheng Jiao. "Large-Scale Remote Sensing Image Retrieval Based on Semi-Supervised Adversarial Hashing." Remote Sensing 11, no. 17 (2019): 2055.【PDF】
  55. Zhang, Xiangrong, Wenkang Ma, Chen Li, Jie Wu, Xu Tang, and Licheng Jiao. "Fully Convolutional Network-Based Ensemble Method for Road Extraction From Aerial Images." IEEE Geoscience and Remote Sensing Letters, 17.10 (2019): 1777-1781.(Highly Cited Paper, Hot Cited Paper)【PDF】
  56. Zhang, Xiangrong, Xin Wang, Xu Tang, Huiyu Zhou, Chen Li. "Description generation for remote sensing images using attribute attention mechanism." Remote Sensing 11.6 (2019): 612.【PDF】
  57. Zhang, Xiangrong, Xiao Han, Chen Li, Xu Tang, Huiyu Zhou, Licheng Jiao. "Aerial Image Road Extraction Based on an Improved Generative Adversarial Network." Remote Sensing 11.8 (2019): 930. 【PDF】
  58. Huyan, Ning, Xiangrong Zhang, Huiyu Zhou, and Licheng Jiao. "Hyperspectral Anomaly Detection via Background and Potential Anomaly Dictionaries Construction." IEEE Transactions on Geoscience and Remote Sensing 57.4 (2019): 2263-2276.【PDF】【CODE】.
  59. Zhang, Xiangrong, Yujia Sun, Jingyan Zhang, Peng Wu, Licheng Jiao. "Hyperspectral unmixing via deep convolutional neural networks."  IEEE Geoscience and Remote Sensing Letters 15.11 (2018): 1755-1759.【PDF】【CODE】
  60. Zhang, Xiangrong, Chen Li, Jingyan Zhang, Qimeng Cheng, Jie Feng, Licheng Jiao, Huiyu Zhou. "Hyperspectral unmixing via low-rank representation with space consistency constraint and spectral library pruning." Remote Sensing 10.2 (2018): 339. 【PDF】
  61. An, Jinliang, Xiangrong Zhang, Huiyu Zhou, and Licheng Jiao. "Tensor-based Low Rank Graph with Multi-Manifold Regularization for Dimensionality Reduction of Hyperspectral Image." IEEE Transactions on Geoscience and Remote Sensing, 56.8 (2018): 4731-4746. 【PDF】
  62. An, Jinliang, Xiangrong Zhang, Huiyu Zhou, Jie Feng, and Licheng Jiao. "Patch Tensor-based Sparse and Low-rank Graph for Hyperspectral Images Dimensionality Reduction." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11.7 (2018): 2513-2527. 【PDF】
  63. Zhang, Xiangrong, Zeyu Gao, Licheng Jiao, and Huiyu Zhou. "Multifeature Hyperspectral Image Classification With Local and Nonlocal Spatial Information via Markov Random Field in Semantic Space." IEEE Transactions on Geoscience and Remote Sensing 56, no. 3 (2018): 1409-1424.【PDF】
  64. Zhang, Xiangrong, Jingyan Zhang, Chen Li, Cai Cheng, Licheng Jiao and Huiyu Zhou. "Hybrid Unmixing Based on Adaptive Region Segmentation for Hyperspectral Imagery." IEEE Transactions on Geoscience and Remote Sensing, 56.7 (2018): 3861-3875. 【PDF】
  65. Zhang, Xiangrong, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng, Licheng Jiao, and Huiyu Zhou. "Hyperspectral Unmixing via Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning." Remote Sensing 10, no. 2 (2018): 339. 【PDF】
  66. Zhang, Xiangrong, Yanjie Liang, Chen Li, Ning Huyan, Licheng Jiao, and Huiyu Zhou. "Recursive Autoencoders-Based Unsupervised Feature Learning for Hyperspectral Image Classification." IEEE Geoscience and Remote Sensing Letters 14, no. 11 (2017): 1928-1932. 【PDF】
  67. Zhang, Xiangrong, Qiang Song, Zeyu Gao, Yaoguo Zheng, Peng Weng, and L. C. Jiao. "Spectral–spatial feature learning using cluster-based group sparse coding for hyperspectral image classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9, no. 9 (2016): 4142-4159. 【PDF】
  68. Zhang, Xiangrong, Yunlong Liang, Yaoguo Zheng, Jinliang An, and L. C. Jiao. "Hierarchical discriminative feature learning for hyperspectral image classification." IEEE Geoscience and Remote Sensing Letters 13, no. 4 (2016): 594-598. 【PDF】
  69. Zhang, Xiangrong, Yudi He, Licheng Jiao, Ruochen Liu, Jie Feng, and Sisi Zhou. "Scaling cut criterion-based discriminant analysis for supervised dimension reduction." Knowledge and information systems 43, no. 3 (2015): 633-655. 【PDF】
  70. Zhang, Xiangrong, Qiang Song, Ruochen Liu, Wenna Wang, and Licheng Jiao. "Modified co-training with spectral and spatial views for semisupervised hyperspectral image classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, no. 6 (2014): 2044-2055. 【PDF】
  71. Zhang, Xiangrong, Hao Yang, L. C. Jiao, Yang Yang, and Feng Dong. "Laplacian group sparse modeling of human actions." Pattern Recognition 47, no. 8 (2014): 2689-2701. 【PDF】
  72. Zhang, Xiangrong, Licheng Jiao, Anand Paul, Yongfu Yuan, Zhengli Wei, and Qiang Song. "Semisupervised particle swarm optimization for classification." Mathematical Problems in Engineering 2014 (2014). 【PDF】
  73. Zhang, Xiangrong, Yang Yang, L. C. Jiao, and Feng Dong. "Manifold-constrained coding and sparse representation for human action recognition." Pattern Recognition 46, no. 7 (2013): 1819-1831. 【PDF】
  74. Zhang, Xiangrong, Yudi He, Nan Zhou, and Yaoguo Zheng. "Semisupervised dimensionality reduction of hyperspectral images via local scaling cut criterion." IEEE Geoscience and Remote Sensing Letters 10, no. 6 (2013): 1547-1551. 【PDF】
  75. Zhang, Xiang-Rong, Li-Min GOU, Yang-Yang LI, Jie FENG, and Li-Cheng JIAO. "Gaussian process latent variable model based on immune clonal selection for SAR target feature extraction and recognition." Journal of Infrared and Millimeter Waves 3 (2013): 005. 【PDF】
  76. Zhang, Xiangrong, Wenna Wang, Yangyang Li, and L. C. Jiao. "PSO-based automatic relevance determination and feature selection system for hyperspectral image classification." Electronics letters 48, no. 20 (2012): 1263-1265. 
  77. Zhang, Xiangrong, Licheng Jiao, Sisi Zhou, Nan Zhou, and Jie Feng. "Adaptive multiparameter spectral feature analysis for synthetic aperture radar target recognition." Optical Engineering 51, no. 8 (2012): 087203. 【PDF】
  78. Zhang, Xiangrong, Licheng Jiao, Fang Liu, Liefeng Bo, and Maoguo Gong. "Spectral clustering ensemble applied to SAR image segmentation." IEEE Transactions on Geoscience and Remote Sensing 46, no. 7 (2008): 2126-2136. (Google Scholar 引用：202次) 【PDF】
  79. Zhang, Xiangrong, Biao Hou, and Licheng Jiao. "Feature Selection for SVMs Ensemble." Journal of Computational Information System 2, no. 4 (2006): 1385-1390. 
  80. An, Jinliang, Xiangrong Zhang, and L. C. Jiao. "Dimensionality reduction based on group-based tensor model for hyperspectral image classification." IEEE Geoscience and Remote Sensing Letters 13, no. 10 (2016): 1497-1501. 【PDF】
  81. Zhang, Erlei, Xiangrong Zhang, Hongying Liu, and Licheng Jiao. "Fast multifeature joint sparse representation for hyperspectral image classification." IEEE Geoscience and Remote Sensing Letters 12, no. 7 (2015): 1397-1401. 【PDF】
  82. Zheng, Yaoguo, Xiangrong Zhang, Biao Hou, and Ganchao Liu. "Using Combined Difference Image and k-Means Clustering for SAR Image Change Detection." IEEE Geoscience and Remote Sensing Letters 11, no. 3 (2014): 691-695. 【PDF】
  83. Zhang, Erlei, Xiangrong Zhang, Shuyuan Yang, and Shuang Wang. "Improving hyperspectral image classification using spectral information divergence." IEEE Geoscience and Remote Sensing Letters 11, no. 1 (2014): 249-253. 【PDF】
  84. Yu, Hang, Xiangrong Zhang, Shuang Wang, and Biao Hou. "Context-based hierarchical unequal merging for SAR image segmentation." IEEE Transactions on geoscience and remote sensing 51, no. 2 (2013): 995-1009. 【PDF】
  85. Zheng, Yaoguo, Xiangrong Zhang, Shuyuan Yang, and Licheng Jiao. "Low-rank representation with local constraint for graph construction." Neurocomputing 122 (2013): 398-405. 【PDF】
  86. Hou, Biao, Xiangrong Zhang, Qiang Ye, and Yaoguo Zheng. "A novel method for hyperspectral image classification based on Laplacian eigenmap pixels distribution-flow." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6, no. 3 (2013): 1602-1618. 【PDF】
  87. Liu, Ruochen, Xiangrong Zhang, Neng Yang, Qifeng Lei, and Licheng Jiao. "Immunodomaince based clonal selection clustering algorithm." Applied Soft Computing 12, no. 1 (2012): 302-312. 【PDF】
  88. Hou, Biao, Xiangrong Zhang, and Nan Li. "MPM SAR image segmentation using feature extraction and context model." IEEE Geoscience and Remote Sensing Letters 9, no. 6 (2012): 1041-1045. 【PDF】
  89. Zhang, Erlei, Licheng Jiao, Xiangrong Zhang, Hongying Liu, and Shuang Wang. "Class-level joint sparse representation for multifeature-based hyperspectral image classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9, no. 9 (2016): 4160-4177. 【PDF】
  90. Feng, Jie, L. C. Jiao, Xiangrong Zhang, and Tao Sun. "Hyperspectral band selection based on trivariate mutual information and clonal selection." IEEE Transactions on Geoscience and Remote Sensing 52, no. 7 (2014): 4092-4105. 【PDF】
  91. Li, Yangyang, Shixia Feng, Xiangrong Zhang, and Licheng Jiao. "SAR image segmentation based on quantum-inspired multiobjective evolutionary clustering algorithm." Information Processing Letters 114, no. 6 (2014): 287-293. 【PDF】
  92. Gou, Shuiping, Xin Qiao, Xiangrong Zhang, Weifang Wang, and Fangfang Du. "Eigenvalue analysis-based approach for POL-SAR image classification." IEEE Transactions on Geoscience and Remote Sensing 52, no. 2 (2014): 805-818. 【PDF】
  93. Feng, Jie, L. C. Jiao, Xiangrong Zhang, Maoguo Gong, and Tao Sun. "Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation." Signal Processing 93, no. 2 (2013): 487-499. 【PDF】
  94. Liu, Ruochen, Licheng Jiao, Xiangrong Zhang, and Yangyang Li. "Gene transposon based clone selection algorithm for automatic clustering." Information Sciences 204 (2012): 1-22. 【PDF】
  95. Feng, Jie, L. C. Jiao, Xiangrong Zhang, and Dongdong Yang. "Bag-of-visual-words based on clonal selection algorithm for SAR image classification." IEEE Geoscience and Remote Sensing Letters 8, no. 4 (2011): 691-695. 【PDF】
  96. Gong, Maoguo, Licheng Jiao, and Xiangrong Zhang. "A population-based artificial immune system for numerical optimization." Neurocomputing 72, no. 1-3 (2008): 149-161. 【PDF】
  97. Zheng, Yaoguo, Licheng Jiao, Hongying Liu, Xiangrong Zhang, Biao Hou, and Shuang Wang. "Unsupervised saliency-guided SAR image change detection." Pattern Recognition 61 (2017): 309-326. 【PDF】
  98. Wu, Jie, Fang Liu, Licheng Jiao, Xiangrong Zhang, Hongxia Hao, and Shuang Wang. "Local maximal homogeneous region search for SAR speckle reduction with sketch-based geometrical kernel function." IEEE Transactions on Geoscience and Remote Sensing 52, no. 9 (2014): 5751-5764. 【PDF】
  99. Song, Xiangfa, L. C. Jiao, Shuyuan Yang, Xiangrong Zhang, and Fanhua Shang. "Sparse coding and classifier ensemble based multi-instance learning for image categorization." Signal Processing 93, no. 1 (2013): 1-11. 【PDF】
  100. Wu, Jiaji, Zhenzhen Xu, Gwanggil Jeon, Xiangrong Zhang, and Licheng Jiao. "Arithmetic coding for image compression with adaptive weight-context classification." Signal Processing: Image Communication 28, no. 7 (2013): 727-735. 【PDF】
  101. Jiao, Licheng, Yangyang Li, Maoguo Gong, and Xiangrong Zhang. "Quantum-inspired immune clonal algorithm for global optimization." IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38, no. 5 (2008): 1234-1253. 【PDF】
  102. Feng, Jie, Licheng Jiao, Fang Liu, Tao Sun, and Xiangrong Zhang. "Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images." Pattern Recognition 51 (2016): 295-309. 【PDF】
  103. Feng, Jie, Licheng Jiao, Tao Sun, Hongying Liu, and Xiangrong Zhang. "Multiple kernel learning based on discriminative kernel clustering for hyperspectral band selection." IEEE Transactions on Geoscience and Remote Sensing 54, no. 11 (2016): 6516-6530. 【PDF】
  104. Li, Yangyang, Yang Wang, Yaxiao Li, Licheng Jiao, Xiangrong Zhang, and Rustam Stolkin. "Single image super-resolution reconstruction based on genetic algorithm and regularization prior model." Information Sciences 372 (2016): 196-207. 【PDF】
  105. Zheng, Yaoguo, Licheng Jiao, Ronghua Shang, Biao Hou, and Xiangrong Zhang. "Local Collaborative Representation With Adaptive Dictionary Selection for Hyperspectral Image Classification." IEEE Geoscience and Remote Sensing Letters 13, no. 10 (2016): 1482-1486. 【PDF】
  106. Feng, Jie, Licheng Jiao, Fang Liu, Tao Sun, and Xiangrong Zhang. "Mutual-information-based semi-supervised hyperspectral band selection with high discrimination, high information, and low redundancy." IEEE Transactions on Geoscience and Remote Sensing 53, no. 5 (2015): 2956-2969. 【PDF】
  107. Sun, Tao, Licheng Jiao, Jie Feng, Fang Liu, and Xiangrong Zhang. "Imbalanced hyperspectral image classification based on maximum margin." IEEE Geoscience and Remote Sensing Letters 12, no. 3 (2015): 522-526. 【PDF】
  108. Jiao, Licheng, Jie Feng, Fang Liu, Tao Sun, and Xiangrong Zhang. "Semisupervised affinity propagation based on normalized trivariable mutual information for hyperspectral band selection." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8, no. 6 (2015): 2760-2773. 【PDF】
  109. Gong, Maoguo, Licheng Jiao, Liefeng Bo, Ling Wang, and Xiangrrong Zhang. "Image texture classification using a manifold-distance-based evolutionary clustering method." Optical Engineering 47, no. 7 (2008): 077201. 【PDF】
  110. Liu, Fang, Jie Wu, Lingling Li, Licheng Jiao, Hongxia Hao, and Xiangrong Zhang. "A Hybrid Method of SAR Speckle Reduction Based on Geometric-Structural Block and Adaptive Neighborhood." IEEE Transactions on Geoscience and Remote Sensing 56, no. 2 (2018): 730-748. 【PDF】
  111. Wu, Jie, Fang Liu, Hongxia Hao, Lingling Li, Licheng Jiao, and Xiangrong Zhang. "A Nonlocal Means for Speckle Reduction of SAR Image With Multiscale-Fusion-Based Steerable Kernel Function." IEEE Geoscience and Remote Sensing Letters 13, no. 11 (2016): 1646-1650.  【PDF】
发明授权专利

部分授权发明专利

  1. 一种基于不相关性约束的低秩表示人体行为识别方法.  ZL201410578539.5
  2. 基于递归自动编码的高光谱特征学习方法.  ZL201410519724.7
  3. 基于结构先验低秩表示的高光谱图像解混方法.  ZL201410468611.9
  4. 一种基于分层稀疏判别特征学习的高光谱图像分类方法.  ZL201410647211.4
  5. 一种基于半监督字典学习的高光谱图像分类方法.  ZL201410717651.2
  6. 基于压缩谱聚类集成的高光谱图像分类方法.  ZL201410105055.9
  7. 一种基于多目标免疫克隆的高光谱图像分类和波段选择的方法.  ZL201410077182.2
  8. 基于量子粒子群算法的高光谱图像波段选择方法.  ZL201410019896.8
  9. 基于拉普拉斯正则组稀疏的人体行为识别方法.  ZL201310517792.5
  10. 基于低秩表示的人体行为识别方法.  ZL201310163241.3
  11. 基于均值漂移和组稀疏编码的高光谱图像空谱域分类方法.  ZL201310161280.X
  12. 基于低秩矩阵分解的SAR图像变化检测方法.  ZL201210193347.3
  13. 基于密度可达测度的半监督谱聚类SAR图像分割方法.  ZL201210047738.4
  14. 基于图的半监督高光谱遥感图像分类方法.  ZL201110071594.1
  15. 基于半监督维数约减的高光谱图像分类方法.  ZL201110199094.6
  16. 基于高斯过程分类器协同训练算法的高光谱图像分类方法.  ZL201110155654.8
  17. 谱聚类的SAR图像变化检测方法.  ZL201110082948.2
  18. 基于核标度切维数约简的合成孔径雷达图像目标识别方法.  ZL201010013574.4
  19. 基于多参数谱特征的合成孔径雷达图像目标识别方法.  ZL200910022649.2
  20. 基于稀疏最小二乘支撑向量机的SAR目标识别方法.  ZL200910022648.8
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