• 其他栏目

    唐旭

    • 教授
    • 性别：男
    • 毕业院校：西安电子科技大学
    • 学历：博士研究生毕业
    • 学位：博士学位
    • 在职信息：在岗
    • 所在单位：人工智能学院
    • 入职时间： 2017-07-07
    • 办公地点：南校区网安大楼C-II-0508
    • 电子邮箱：

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      个人简介：

      唐旭博士长期从事高分辨率对地观测相关方向的课题研究，围绕高分辨率遥感影像理解与应用的重大需求，面向复杂影像内容挖掘和模式识别的国际学术前沿，在国家自然科学基金重点基金和面上、教育部重点科技项目、“十三五”预研项目等的联合资助下，围绕遥感影像智能解译这一问题开展了深入的研究工作，解决了诸多瓶颈问题。以影像内容检索为主线，提出了面向遥感影像的多尺度距离测度、基于图论的重排序方法、无监督深度特征学习算法、大规模影像哈希特征学习方法等，研究成果提高了遥感影像信息提取与解译的智能化水平与精度。相关研究成果获2022年中国自动化学会自然科学二等奖。


      教育经历

      • 2007年 获西安电子科技大学学士学位

      • 2010年 获西安电子科技大学硕士学位

      • 2017年 获西安电子科技大学博士学位

      • 2015-2016 美国科罗拉多大学博尔德分校，航空航天学院，联培博士


      • 工作经历

      • 2010.04-2011.7 中兴通讯股份有限公司 软件工程师

      • 2011.07-2013.7 华为技术有限公司 软件工程师

      • 2017.07-2019.7 西安电子科技大学 人工智能学院 讲师

      • 2019.07-2023.6 西安电子科技大学 人工智能学院 副教授

      • 2021.01-至今 西安电子科技大学 华山菁英副教授

      • 2023.07-至今 西安电子科技大学人工智能学院 教授

      • 2023.10-至今 西安电子科技大学 人工智能学院 副院长


      相关信息还可查询：https://web.xidian.edu.cn/tangxu/


      招生信息

      硕士研究生招生专业：

      081100 控制科学与工程

      0854电子信息（专业学位）（方向1：电子与通信工程+方向2：计算机技术）

      欢迎电邮你的个人简历至tangxu128@xidian.edu.cn；tangxu128@gmail.com


      学术兼职

      学会任职

      1. IEEE Senior Member

      2. Associate Editorof IEEE Geoscience and Remote Sensing Letters (IF:4.8, 中科院 III 区)

      3. Topic Editorof Remote Sensing (IF:5.0, 中科院 II 区)

      4. 中国人工智能学会青年工作委员会委员

      5. 陕西省自动化学会青年工作委员会委员


      程序委员会

      1. IGARSS 2019 Special Session Co-Chair

      2. IGARSS 2020 Session Chair


      审稿人

      1. IEEE Transactions on Geoscience and Remote Sensing

      2. IEEE Transactions on Image Processing

      3. IEEE Transactions on Neural Networks and Learning Systems

      4. IEEE Transactions on Cybernetics

      5. IEEE Transactions on Multimedia

      6. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

      7. IEEE Geoscience and Remote Sensing Letters

      8. ISPRS Journal of Photogrammetry and Remote Sensing

      9. Remote Sensing

      10. Information Science

      11. Pattern Recognition

      12. Knowledge-Based Systems

      13. Applied Soft Computing

      14. International Journal of Remote Sensing

      15. Journal of Applied Remote Sensing

      16. ICCV/AAAI/CVPR/ECCV/ACCV/WACV


      • 论文成果

      谷歌学术网址


      专著

      1. 焦李成，侯彪，唐旭，刘芳，杨淑媛，陈莉，马文萍. 人工智能、类脑计算与图像解译前沿. 西安电子科技大学出版社, (2020).


      国际期刊

      1. 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(2024).Accepted(Code)

      2. Yuqun 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 Sensing62 (2024): 1-17.(Code)

      3. Jingjing Ma, Yizhou Zou,Xu Tang*, Xiangrong Zhang, Licheng Jiao. "Spatial Pooling Transformer Network and Noise-Tolerant Learning for Noisy Hyperspectral Image Classification."IEEE Transactions on Geoscience and Remote Sensing62 (2024): 1-19. (Code)

      4. 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 Sensing62 (2024): 1-15. (Code)

      5. Liu, Fang, Yangguang Liu, Jia Liu,Xu Tang, and Liang Xiao. "Candidate-aware and Change-guided Learning for Remote Sensing Change Detection."IEEE Transactions on Geoscience and Remote Sensing62 (2024): 1-19.

      6. Wang, Guanchun, Xiangrong Zhang, Zelin Peng, Tianyang Zhang,Xu Tang, Huiyu Zhou, and 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).

      7. Liu, Fang, Jiaqi An, Jia Liu, Jingxiang Yang,Xu Tang, and Liang Xiao. "Conjoint Cross-attention Modeling and Joint Feature Calibrating for Remote Sensing Image Change Detection via a Triple-Double Network."IEEE Transactions on Geoscience and Remote Sensing62 (2024): 1-16.

      8. Zhang, Tianyang, Xiangrong Zhang, Xiaoqian Zhu, Guanchun Wang, Xiao Han,Xu Tang, and Licheng Jiao. "Multistage enhancement network for tiny object detection in remote sensing images."IEEE Transactions on Geoscience and Remote Sensing62 (2024): 1-12.

      9. Jiao, Licheng, Mengru Ma, Pei He, Xueli Geng, Xu Liu, Fang Liu, Wenping Ma, Shuyuan Yang, Biao Hou, andXu Tang. "Brain-Inspired Learning, Perception, and Cognition: A Comprehensive Review."IEEE Transactions on Neural Networks and Learning Systems(2024).

      10. Xu Tang, Tianxiang Zhang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao. "WNet: W-shaped Hierarchical Network for Remote Sensing Image Change Detection."IEEE Transactions on Geoscience and Remote Sensing61 (2023): 1-14. (Code)

      11. Xu Tang, Yijing Wang, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao. "Interacting-Enhancing Feature Transformer for Cross-modal Remote Sensing Image and Text Retrieval."IEEE Transactions on Geoscience and Remote Sensing61 (2023): 1-15. (Code)

      12. Xu Tang*, Ruiqi Du, Ma, Jingjing, and Xiangrong Zhang. "Noisy Remote Sensing Scene Classification via Progressive Learning Based on Multiscale Information Exploration."Remote Sensing15, no. 24 (2023): 5706. (Code)

      13. Yang, Yuqun,Xu Tang*, Yiu-ming Cheung, Xiangrong Zhang, and Licheng Jiao. "SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification."IEEE Transactions on Image Processing32 (2023): 1011-1025. (Code)

      14. Jingjing Ma, Weiquan Lin,Xu Tang*, Xiangrong Zhang, Fang Liu, Licheng Jiao. "Multipretext-Task Prototypes Guided Dynamic Contrastive Learning Network for Few-shot Remote Sensing Scene Classification."IEEE Transactions on Geoscience and Remote Sensing61 (2023): 1-16. (Code)

      15. Jingjing Ma, Desheng Li,Xu Tang*, Yuqun Yang, Xiangrong Zhang, Licheng Jiao. "Unsupervised SAR Image Change Detection Based on Feature Fusion of Information Transfer."IEEE Geoscience and Remote Sensing Letters20 (2023): 1-5. (Code)

      16. JingjingMa,Shiji Pei, Yuqun Yang,Xu Tang*, and Xiangrong Zhang. "MTGL40-5: A Multi-Temporal Dataset for Remote Sensing Image Geo-Localization."Remote Sensing15, no. 17 (2023): 4229. (Code)

      17. Li, Yunpeng, Xiangrong Zhang,Xu Tang, and Licheng Jiao. "Learning Consensus-aware Semantic Knowledge for remote sensing image captioning."Pattern Recognition(2023): 109893.

      18. Wang, Guanchun, Xiangrong Zhang, Peng Zhu,Xu Tang, Puhua Chen, Licheng Jiao, and Huiyu Zhou. "High-Quality Angle Prediction for Oriented Object Detection in Remote Sensing Images."IEEE Transactions on Geoscience and Remote Sensing(2023).

      19. Zhu, Xiaoqian, Xiangrong Zhang, Tianyang Zhang,Xu Tang, Puhua Chen, Huiyu Zhou, and Licheng Jiao. "Semantics and Contour Based Interactive Learning Network For Building Footprint Extraction."IEEE Transactions on Geoscience and Remote Sensing(2023).

      20. Liu, Fang, Wenfei Gao, Jia Liu,Xu Tang, and Liang Xiao. "Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification."IEEE Transactions on Geoscience and Remote Sensing(2023).

      21. Zhang, Xiangrong, Shunli Tian, Guanchun Wang,Xu Tang, Jie Feng, and Licheng Jiao. "CAST: A CAscade Spectral aware Transformer for Hyperspectral Image Change Detection."IEEE Transactions on Geoscience and Remote Sensing(2023).

      22. Liu, YangGuang, Fang Liu, Jia Liu,Xu Tang, and Liang Xiao. "Adaptive Spatial and Difference Learning for Change Detection."IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing16 (2023): 7447-7461.

      23. Zhang, Xiangrong, Tianyang Zhang, Guanchun Wang, Peng Zhu,Xu Tang, Xiuping Jia, and Licheng Jiao. "Remote Sensing Object Detection Meets Deep Learning: A metareview of challenges and advances."IEEE Geoscience and Remote Sensing Magazine(2023).

      24. Zhang, Tianyang, Xiangrong Zhang, Peng Zhu, Xiuping Jia,Xu Tang, and Licheng Jiao. "Generalized few-shot object detection in remote sensing images."ISPRS Journal of Photogrammetry and Remote Sensing195 (2023): 353-364.

      25. Wang, Guanchun, 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 Sensing196 (2023): 457-470.

      26. Gao, Wenfei, Fang Liu, Jia Liu, Liang Xiao, andXu Tang. "Spatial-Spectral Adaptive Learning with Pixel-Wise Filtering for Hyperspectral Image Classification."IEEE Transactions on Geoscience and Remote Sensing(2023).

      27. Zhang, Xiangrong, 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 Sensing61 (2023): 1-13.

      28. Zhang, Xiangrong, 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).

      29. Yang, Yuqun,Xu Tang*, Xiangrong Zhang, Jingjing Ma, Fang Liu, Xiuping Jia, and Licheng Jiao. "Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification."IEEE Transactions on Neural Networks and Learning Systems(2022).(Code)

      30. Xu Tang, Mingteng Li, Jingjing Ma, Xiangrong Zhang, Fang Liu, and Licheng Jiao. "EMTCAL: Efficient Multi-Scale Transformer and Cross-Level Attention Learning for Remote Sensing Scene Classification."IEEE Transactions on Geoscience and Remote Sensing(2022). (Code)

      31. Xu Tang, Weiquan Lin, Jingjing Ma, Xiangrong Zhang, Fang Liu, and Licheng Jiao. "Class-level Prototype Guided Multi-Scale Feature Learning for Remote Sensing Scene Classification with Limited Labels."IEEE Transactions on Geoscience and Remote Sensing(2022). (Code)

      32. Xu Tang, Yuqun Yang, Jingjing Ma, Yiu-ming Cheung, Chao Liu, Fang Liu, Xiangrong Zhang, Licheng Jiao. "Meta-hashing for Remote Sensing Image Retrieval."IEEE Transactions on Geoscience and Remote Sensing(2022). (Code)

      33. Jingjing Ma, Mingteng Li,Xu Tang*, Xiangrong Zhang, Fang Liu, and Licheng Jiao. "Homo-Heterogenous Transformer Learning Framework for Remote Sensing Scene Classification."IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2022). (Code)

      34. Jingjing Ma, Duanpeng Shi,Xu Tang*, Xiangrong Zhang, and Licheng Jiao. "Dual Modality Collaborative Learning for Cross-Source Remote Sensing Retrieval."Remote Sensing(2022). (Code)

      35. Zhang, Tianyang, 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 Sensing60 (2022): 1-13.

      36. Zhang, Xiangrong, 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 Sensing60 (2022): 1-13.

      37. Zhang, Xiangrong, 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 Sensing14, no. 7 (2022): 1580.

      38. Ma, Wenping, Na Li, Hao Zhu, Licheng Jiao,Xu Tang, Yuwei Guo, and Biao Hou. "Feature Split–Merge–Enhancement Network for Remote Sensing Object Detection."IEEE Transactions on Geoscience and Remote Sensing60 (2022): 1-17.(ESI Most-Cited Paper)

      39. Ma, Wenping, Na Li, Hao Zhu, Kenan Sun, Zhongle Ren,Xu Tang, Biao Hou, and Licheng Jiao. "A Collaborative Correlation-Matching Network for Multimodality Remote Sensing Image Classification."IEEE Transactions on Geoscience and Remote Sensing60 (2022): 1-18.

      40. Yu, Bingqi, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang, andXu Tang. "Entire Deformable ConvNets for semantic segmentation."Knowledge-Based Systems(2022): 108871.

      41. Xu Tang*, Huayu Zhang, Lichao Mou, Fang Liu, Xiangrong Zhang, Xiaoxiang Zhu, Licheng Jiao. "An Unsupervised Remote Sensing Change Detection Method based on Multiscale Graph Convolutional Network and Metric Learning."IEEE Transactions on Geoscience and Remote Sensing(2021). (Code)

      42. Yuqun Yang,Xu Tang*, Yiu-Ming Cheung, Xiangrong Zhang, Fang Liu, Jingjing Ma, and Licheng Jiao. "AR2Det: An Accurate and Real-time Rotational One-Stage Ship Detector in Remote Sensing Images."IEEE Transactions on Geoscience and Remote Sensing(2021). (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). (Code)

      44. 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(2021).

      45. Fang Liu, Jingya Wang,Xu Tang, Jia Liu, Xiangrong Zhang, and Liang Xiao. "Adaptive Graph Convolutional Network for PolSAR Image Classification."IEEE Transactions on Geoscience and Remote Sensing(2021).

      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).

      47. 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(2021).

      48. 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).

      49. Tang, Xu*, Fanbo Meng, Xiangrong Zhang, Yiu-Ming Cheung, Jingjing Ma, Fang Liu, and Licheng Jiao. "Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network."IEEE Transactions on Geoscience and Remote Sensing59, no. 3 (2021): 2430-2447. (Code) (ESI Most-Cited Papers & ESI Hot Paper)

      50. Tang, Xu*, Qiushuo Ma, Xiangrong Zhang, Fang Liu, Jingjing Ma, and Licheng Jiao. "Attention Consistent Network for Remote Sensing Scene Classification."IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing14 (2021): 2030-2045. (Code)(ESI Most-Cited Papers)

      51. Liu, Chao, Jingjing Ma,Xu Tang*, Fang Liu, Xiangrong Zhang, and Licheng Jiao. "Deep hash learning for remote sensing image retrieval."IEEE Transactions on Geoscience and Remote Sensing59, no. 4 (2021): 3420-3443. (Code) (ESI Most-Cited Papers &Popular Paper in TGRS)

      52. Liu, Xu, Licheng Jiao, Lingling Li,Xu Tang, and Yuwei Guo. "Deep multi-level fusion network for multi-source image pixel-wise classification."Knowledge-Based Systems(2021): 106921.

      53. Jingjing Ma, Linlin Wu,Tang Xu*, Fang Liu, Xiangrong Zhang, and Licheng Jiao. "Building Extraction of Aerial Images by a Global and Multi-scale Encoder-Decoder Network."Remote Sensing12, no. 15 (2020): 2350. (Code)

      54. 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 Sensing59, no. 1 (2020): 363-378.

      55. 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 Sensing58, no. 12 (2020): 8840-8856.

      56. 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 Sensing13 (2020): 2226-2239.

      57. 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 Sensing11, no. 17 (2019): 2055.

      58. 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 Sensing58, no. 2 (2019): 881-891.

      59. 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 Letters17, no. 10 (2019): 1777-1781.(ESI Most-Cited Papers)

      60. Meng, Zhe, Lingling Li,Xu Tang, Zhixi Feng, Licheng Jiao, and Miaomiao Liang. "Multipath Residual Network for Spectral-Spatial Hyperspectral Image Classification."Remote Sensing11, no. 16 (2019): 1896.

      61. Zhang, Xiangrong, Xiao Han, Chen Li,Xu Tang, Huiyu Zhou, and Licheng Jiao. "Aerial Image Road Extraction Based on an Improved Generative Adversarial Network."Remote Sensing11, no. 8 (2019): 930.

      62. Zhang, Xiangrong, Xin Wang,Xu Tang*, Huiyu Zhou, and Chen Li. "Description Generation for Remote Sensing Images Using Attribute Attention Mechanism."Remote Sensing11, no. 6 (2019): 612.

      63. Tang, Xu*, Xiangrong Zhang, Fang Liu, and Licheng Jiao. "Unsupervised deep feature learning for remote sensing image retrieval."Remote Sensing10, no. 8 (2018): 1243.

      64. Liu, Fang, Licheng Jiao, andXu Tang. "Task-oriented GAN for PolSAR image classification and clustering."IEEE Transactions on Neural Networks and Learning Systems30, no. 9 (2019): 2707-2719.

      65. Liu, Fang, Licheng Jiao,Xu Tang, Shuyuan Yang, Wenping Ma, and Biao Hou. "Local restricted convolutional neural network for change detection in polarimetric SAR images."IEEE Transactions on Neural Networks and Learning Systems30, no. 3 (2018): 818-833.

      66. Liu, Xu, Licheng Jiao,Xu Tang, Qigong Sun, and Dan Zhang. "Polarimetric convolutional network for polsar image classification."IEEE Transactions on Geoscience and Remote Sensing57, no. 5 (2018): 3040-3054.

      67. Liu, Xu, Licheng Jiao, Jiaqi Zhao, Jin Zhao, Dan Zhang, Fang Liu, Shuyuan Yang, andXu Tang. "Deep Multiple Instance Learning-Based Spatial–Spectral Classification for PAN and MS Imagery."IEEE Transactions on Geoscience and Remote Sensing56, no. 1 (2018): 461-473.

      68. Tang, Xu*, Licheng Jiao, William J. Emery, Fang Liu, and Dan Zhang. "Two-stage reranking for remote sensing image retrieval."IEEE Transactions on Geoscience and Remote Sensing55, no. 10 (2017): 5798-5817.

      69. Tang, Xu*, Licheng Jiao, and William J. Emery. "SAR image content retrieval based on fuzzy similarity and relevance feedback."IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10, no. 5 (2017): 1824-1842.

      70. Tang, Xu*, and Licheng Jiao. "Fusion similarity-based reranking for SAR image retrieval."IEEE Geoscience and Remote Sensing Letters14, no. 2 (2017): 242-246.

      71. Jiao, Licheng,Xu Tang*, Biao Hou, and Shuang Wang. "SAR images retrieval based on semantic classification and region-based similarity measure for earth observation."IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing8, no. 8 (2015): 3876-3891.


      国际会议

      1. Duan, JunYi, Yijing Wang,Xu Tang*, Jingjing Ma, and Yuqun Yang. “Exchange Data Augmen- tation for Change Detection.” In IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 6672-6675. IEEE, 2023.

      2. Pei, Shiji, Yijing Wang, Jingjing Ma,Xu Tang*, and Yuqun Yang. “Multi-Scale Interaction Prototypical Network For Few-Shot Remote Sensing Scene Classification.” In IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 6231-6234. IEEE, 2023.

      3. 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.

      4. Weiquan Lin,Xu Tang*, Xiao Han, Jingjing Ma, Xiangrong Zhang, and Licheng Jiao. "NQ-PROTONET: Noisy Query Prototypical Network for Few-Shot Remote Sensing Scene Classification." In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 3620-3623. IEEE, 2022.

      5. Yuqun Yang,Xu Tang*, Fang Liu, Jingjing Ma, and Licheng Jiao. "Remote Sensing Image Change Detection Based on Deep Dictionary Learning." In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 1416-1419. IEEE, 2022.

      6. Mingteng Li, Jingjing Ma,Xu Tang*, Xiao Han, Cheng Zhu, and Licheng Jiao. "RESFORMER: Bridging Residual Network and Transformer for Remote Sensing Scene Classification." In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 3147-3150. IEEE, 2022.

      7. Yijing Wang, Jingjing Ma, Mingteng Li,Xu Tang*, Xiao Han, and Licheng Jiao. "Multi-Scale Interactive Transformer for Remote Sensing Cross-Modal Image-Text Retrieval." In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium, pp. 839-842. IEEE, 2022.

      8. Tang, Xu*, Qionglin Zhou, Fanbo Meng, Xiao Han, Dalei Li, Xiangrong Zhang, and Licheng Jiao. "Hyperspectral Image Classification Based on Spectral Graph and Bidirectional LSTM Network." In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 3661-3664. IEEE, 2021.

      9. Tang, Xu*, Weiquan Lin, Chao Liu, Xiao Han, Wenjing Wang, Jingjing Ma, and Licheng Jiao. "Multi-Scale Meta-Learning-Based Networks for High-Resolution Remote Sensing Scene Classification." In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 4928-4931. IEEE, 2021.

      10. Yang, Yuqun,Xu Tang*, Xiao Han, Jingjing Ma, Xiangrong Zhang, and Licheng Jiao. "Remote Scene Image Scene Classification Based on Adaptive Segmentation and Dynamic Graph Convolution." In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 4912-4915. IEEE, 2021.

      11. Zhang, Huayu,Xu Tang*, Xiao Han, Jingjing Ma, Xiangrong Zhang, and Licheng Jiao. "High-Resolution Remote Sensing Images Change Detection with Siamese Holistically-Guided FCN." In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 4340-4343. IEEE, 2021.

      12. Jingjing Ma, Duanpeng Shi,Xu Tang*, Xiangrong Zhang, Xiao Han, and Licheng Jiao. "Cross-Source Image Retrieval Based on Ensemble Learning and Knowledge Distillation for Remote Sensing Images." In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 2803-2806. IEEE, 2021.

      13. Tang, Xu*, Huayu Zhang, Jingjing Ma, Xiangrong Zhang, and Licheng Jiao. "Supervised Adaptive-RPN Network for Object Detection in Remote Sensing Images." In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 2647-2650. IEEE.

      14. Tang, Xu*, Fanbo Meng, Jingjing Ma, Xiangrong Zhang, Fang Liu, Qunnie Peng, and Licheng Jiao. "Hyperspectral Image Classification Based on Multiscale Spatial and Spectral Feature Network." In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 838-841. IEEE.

      15. Liu, Chao,Xu Tang*, Jingjing Ma, Xiangrong Zhang, Fang Liu, Junyong Ma, and Licheng Jiao. "Remote Sensing Images Feature Learning based On Multi-Branch Networks." In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 2057-2060. IEEE.

      16. Jingjing Ma, Linlin Wu,Xu Tang*, Xiangrong Zhang, Cheng Zhu, Junyong Ma, and Licheng Jiao. "Hyperspectral Image Classification Via Multi-Scale Encoder-Decoder Network." In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 1283-1286. IEEE.

      17. Jingjing Ma, Qiushuo Ma,Xu Tang*, Xiangrong Zhang, Cheng Zhu, Qunnie Peng, and Licheng Jiao. "Remote Sensing Scene Classification Based on Global and Local Consistent Network." In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 537-540. IEEE.

      18. Tang, Xu*, Chao Liu, Xiangrong Zhang, Jingjing Ma, Changzhe Jiao, and Licheng Jiao. "Remote Sensing Image Retrieval Based on Semi-Supervised Deep Hashing Learning." In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 879-882. IEEE, 2019.

      19. Liu, Chao, Jingjing Ma,Xu Tang*, Xiangrong Zhang, and Licheng Jiao. "Adversarial Hash-Code Learning for Remote Sensing Image Retrieval." In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 4324-4327. IEEE, 2019.

      20. Li, Yuxuan, Licheng Jiao,Xu Tang*, Xiangrong Zhang, Wenhua Zhang, and Li Gao. "Weak Moving Object Detection In Optical Remote Sensing Video With Motion-Drive Fusion Network." In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 5476-5479. IEEE, 2019.

      21. Liu, Fang, andXu Tang. "A Stepwise Method for Change Detection in Large-Scale Polarimetric SAR Images." In IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, pp. 5425-5428. IEEE, 2019.

      22. Tang, Xu, Handing Wang, and Changzhe Jiao. "Multi-Objective Evolutionary Metric Learning for Image Retrieval Using Convolutional Neural Network Features." In 2019 IEEE Congress on Evolutionary Computation (CEC), pp. 578-585. IEEE, 2019.

      23. Tang, Xu*, Xiangrong Zhang, Fang Liu, and Licheng Jiao. "Circular Relevance Feedback for Remote Sensing Image Retrieval." In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 8953-8956. IEEE, 2018.

      24. Ma, Xiaoxiao, Xiangrong Zhang, Ning Huyan,Xu Tang, Biao Hou, and Licheng Jiao. "Hyper-Laplacian Regularized Low-Rank Tensor Decomposition for Hyperspectral Anomaly Detection." In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 6380-6383. IEEE, 2018.

      25. Hou, Biao,Xu Tang*, Licheng Jiao, and Shuang Wang. "SAR image retrieval based on gaussian mixture model classification." In Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on, pp. 796-799. IEEE, 2009.


      专利成果

      授权专利

      1. 焦李成，唐旭，等。基于半监督分类与区域距离测度的SAR图像识别方法，ZL201410224797.3 [P]. 2017

      2. 焦李成，唐旭，等。基于多尺度模糊测度与半监督学习的SAR图像识别方法，ZL201410674365.2 [P]. 2017

      3. 唐旭，刘超，马晶晶，焦李成。基于半监督深度对抗自编码哈希学习的遥感影像内容检索方法，ZL201910198880.0 [P]. 2020

      4. 马晶晶，刘超，唐旭，焦李成。面向大规模遥感影像内容检索的深度对抗哈希学习方法，ZL201910198886.8 [P]. 2020

      5. 焦李成，唐旭，等。基于集成深度卷积网络的光学遥感图像目标检测方法，ZL201810113862.3 [P], 2020

      6. 焦李成，唐旭，等。基于视差信息的遥感图像语义分割方法，ZL201910399019.0[P], 2020

      7. 马晶晶，吴琳琳，唐旭，焦李成。基于全局和多尺度全卷积网络的航拍图像分割方法，ZL201911087534.1[P], 2021

      8. 刘超，马晶晶，唐旭，焦李成。基于注意力和生成对抗网络的光学遥感图像检索方法, ZL201911171794.7 [P]. 2022

      9. 马晶晶，史端鹏，唐旭，焦李成。一种跨源图像检索方法、系统、介质及设备，ZL202110137096.6 [P]，2023

      10. 唐旭，张华煜，张向荣，马晶晶，焦李成。一种无监督遥感图像变化检测方法、存储介质及计算设备，ZL202011487595.X [P]，2023

      11. 唐旭，马秋硕，马晶晶，焦李成。基于注意力机制多尺度深度学习的遥感影像分类方法，ZL201910603799.6 [P]，2023

      12. 唐旭，孟凡波，马晶晶，焦李成。基于Octave卷积的空谱注意力高光谱图像分类方法，ZL201910797299.0[P]，2023

      13. 唐旭，杨钰群，马晶晶，张向荣，焦李成。一种快速舰船目标检测方法、存储介质及计算设备，ZL202010738960.3[P]，2024


      受理专利

      1. 唐旭，黄达彪，马晶晶，张向荣，焦李成。一种基于历史经验的遥感图文检索方法。202410363448.3，2024

      2. 唐旭，张廷瑞，马晶晶，张向荣，焦李成。基于特征逆转信息熵网络的遥感影像变化检测方法。2024103654256，2024

      3. 唐旭，王懿婧，马晶晶，张向荣，焦李成。基于协同学习的跨模态遥感图文匹配网络及其匹配方法，202310586807.7，2023

      4. 唐旭，段钧益，马晶晶，张向荣，焦李成。基于边缘辅助自适应的遥感图像变化检测方法，202310339916.9，2023

      5. 唐旭，杜瑞琦，马晶晶，张向荣，焦李成。渐进式训练多尺度信息检索网络的图像场景分类方法。202311203883.1，2023

      6. 马晶晶，邹亦舟，唐旭，张向荣，焦李成。基于空间池化Transformer 的高光谱图像分类方法。202311221345.5，2023

      7. 马晶晶，张天祥，唐旭，张向荣，焦李成。基于双孪生分支的遥感图像变化检测网络及检测方法，202310544667.7，2023

      8. 马晶晶，薛转转，唐旭，张向荣，焦李成。U 型网络与自注意力机制结合的遥感图像变化检测方法，202310581189.7，2023

      9. 马晶晶，邹亦舟，唐旭，张向荣，焦李成。基于空间池化Transformer 的高光谱图像分类方法。202311221345.5，2023

      10. 唐旭，胡恒超，马晶晶，张向荣，焦李成。有限标注样本条件下的半监督遥感图像检索方法，202211440678.2，2022

      11. 唐旭，林伟权，马晶晶，张向荣，焦李成。基于多任务动态对比学习的遥感图像小样本场景分类方法，202210644945.1，2022

      12. 马晶晶，李德生，唐旭，张向荣，焦李成。基于混合卷积的SAR图像变化检测方法。202211472616.X，2022

      13. 唐旭，杨钰群，马晶晶，张向荣，焦李成。基于语义感知与动态图卷积的遥感场景分类方法及系统，202111267094.5，2021

      14. 唐旭，张华煜，马晶晶，张向荣，焦李成。一种同源或异源遥感图像用无监督变化检测方法及系统，202111153270.2，2021

      15. 马晶晶，李明腾，唐旭，张向荣，焦李成。一种基于同异质Transformer的遥感场景分类方法及系统，202111153214.9，2021


      科学研究

      目前研究团队承担的科研项目：

      1. 基于多任务小样本学习的复杂遥感影像检索，国家自然科学基金面上项目，主持；

      2. 面向****任务的跨模态协同感知技术，领域基金项目，主持；

      3. 面向****任务的信息转换技术，领域基金项目，主持；

      4. 基于实例感知深度哈希学习的高分辨SAR图像检索，国家自然科学基金青年项目，主持；

      5. 基于跨源对抗元哈希学习的城市环境智能感知技术研究，陕西省重点研发计划，主持；

      6. 面向海量遥感影像管理的智能解译系统研究，国防科技重点实验室基金研究项目，主持；

      7. 海量动态高维异构复杂空间数据的快速目标信息提取技术研究，装备预研重点实验室基金项目，主持；

      8. 2019“香江学者计划”，中国人社部，主持；

      9. 基于深度语义哈希学习和相关反馈的大规模遥感图像检索，中国博士后科学基金面上项目（一等），主持；

      10. 基于深度多尺度特征学习和两阶段重排序的遥感图像智能检索，陕西省自然科学基础研究计划青年项目，主持；

      11. 基于多尺度深度网络的高分辨遥感影像群目标检测与识别，国防科技重点实验室基金研究项目，主持；

      12. 高光谱像元级目标识别技术，航空科学基金，主持；

      13. 基于弱监督语义嵌入生成对抗网络的城市智能感知技术研究，陕西省重点产业链项目，主研；

      14. 版权图片查盗技术合作项目，华为技术有限公司横向合作项目，主研。


      科研团队

      团队教师：

      焦李成教授，张向荣教授，唐旭教授，马晶晶副教授


      团队博士研究生：

      杨钰群，王懿婧


      团队硕士研究生：

      刘超，马秋硕，孟凡波，吴琳琳

      张华煜，杨晨，杨钰群，史端鹏

      李明腾，贾文俊，林伟权，胡恒超，李德生

      周穹霖，王懿婧，段钧益，张天祥，裴世纪，薛转转

      杜瑞琦，邹亦舟，蒋伟，张廷瑞，黄达彪

      姚悦熙，韩硕，贺健，连盛洲，沈睿韬，谷峰


      研究方向

    • 遥感图像内容理解
      机器学习
      模式识别


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