• 其他栏目

    唐旭

    • 副教授 硕士生导师
    • 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:在职
    • 所在单位:人工智能学院
    • 入职时间: 2017-07-07
    • 所属院系: 人工智能学院
    • 办公地点:北校区主楼II419
    • 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。


    教育经历

    • 2003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

    • 2010.4-2011.7 中兴通讯股份有限公司 软件工程师

    • 2011.7-2013.7 华为技术有限公司 软件工程师

    • 2017.7-2019.9 西安电子科技大学 人工智能学院 讲师

    • 2019.7-至今    西安电子科技大学 人工智能学院 副教授


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

                                       https://sites.google.com/site/xutanghomepage/



    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 Member

    2. 中国人工智能学会青年工作委员会委员

    3. 陕西生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


    国际期刊

    1. 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 Sensing 12, no. 15 (2020): 2350. (Code)

    2. 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, 2020. Accept. (Code)

    3. 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, 2020. Accept. (Code)

    4. 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 (2020).

    5. 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 (2020).

    6. 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 (2020).

    7. 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.

    8. 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 (2019).

    9. 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 (2019).

    10. Meng, Zhe, Lingling Li, Xu Tang, Zhixi Feng, Licheng Jiao, and Miaomiao Liang. "Multipath Residual Network for Spectral-Spatial Hyperspectral Image Classification." Remote Sensing 11, no. 16 (2019): 1896.

    11. 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 Sensing 11, no. 8 (2019): 930.

    12. Zhang, Xiangrong, Xin Wang, Xu Tang*, Huiyu Zhou, and Chen Li. "Description Generation for Remote Sensing Images Using Attribute Attention Mechanism." Remote Sensing 11, no. 6 (2019): 612.

    13. Tang, Xu*, Xiangrong Zhang, Fang Liu, and Licheng Jiao. "Unsupervised deep feature learning for remote sensing image retrieval." Remote Sensing 10, no. 8 (2018): 1243.

    14. Liu, Fang, Licheng Jiao, and Xu Tang. "Task-oriented GAN for PolSAR image classification and clustering." IEEE Transactions on Neural Networks and Learning Systems 30, no. 9 (2019): 2707-2719.

    15. 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 Systems 30, no. 3 (2018): 818-833.

    16. Liu, Xu, Licheng Jiao, Xu Tang, Qigong Sun, and Dan Zhang. "Polarimetric convolutional network for polsar image classification." IEEE Transactions on Geoscience and Remote Sensing 57, no. 5 (2018): 3040-3054.

    17. Liu, Xu, Licheng Jiao, Jiaqi Zhao, Jin Zhao, Dan Zhang, Fang Liu, Shuyuan Yang, and Xu Tang. "Deep Multiple Instance Learning-Based Spatial–Spectral Classification for PAN and MS Imagery." IEEE Transactions on Geoscience and Remote Sensing 56, no. 1 (2018): 461-473.

    18. 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 Sensing 55, no. 10 (2017): 5798-5817.

    19. 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 Sensing 10, no. 5 (2017): 1824-1842.

    20. Tang, Xu*, and Licheng Jiao. "Fusion similarity-based reranking for SAR image retrieval." IEEE Geoscience and Remote Sensing Letters 14, no. 2 (2017): 242-246.

    21. 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 Sensing 8, no. 8 (2015): 3876-3891.


    国际会议

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

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

    3. Liu, Chao, Xu Tang*, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao. "Remote Sensing Images Feature Learning Based on Multi-Branch Networks". In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, Accept.

    4. Ma, Jingjing, Linlin Wu, Xu Tang*, Xiangrong Zhang, Cheng Zhu, Licheng Jiao. "Hyperspectral Image Classification via Multi-Scale Encoder-Decoder Network.In IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, Accept.

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

    6. 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.

    7. 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.

    8. 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.

    9. Liu, Fang, and Xu 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.

    10. 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.

    11. 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.

    12. 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.

    13. 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


    受理专利

    1. 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,201910603799.6,2019

    2. 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,201910797299.0,2019

    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,201910198880.0, 2019

    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,201910198886.8, 2019

    5. 马晶晶,刘超,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,201911171794.7,2019

    6. 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,201911087534.1,2019

    7. 焦李成,唐旭,等。基于视差信息的遥感图像语义分割方法,201910399019.0, 2019

    8. 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,201810113862.3, 2018



    科学研究

    目前研究团队承担的科研项目:

    1. 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;

    2. 2019“香江学者计划”,中国人社部,主持;

    3. 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;

    4. 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;

    5. 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;

    6. 高光谱像元级目标识别技术,航空科学基金,主持;

    7. 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;

    8. 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:

    张向荣教授

    马晶晶副教授

    唐旭副教授


    团队研究生:

    刘超,马秋硕,孟凡波,吴琳琳

    张华煜,杨晨,杨钰群,史端鹏



    研究方向

  • 遥感图像内容理解
    机器学习
    模式识别