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基本信息

刘  旭

博士/博士后/准聘副教授

 

联系方式

工作单位:人工智能学院

通信地址:西安市雁塔区太白南路2号

电子邮箱:xuliu@xidian.edu.cn

办公地点:主楼II区418

个人简介

刘旭,博士,博士后,西安电子科技大学人工智能学院,智能感知与图像处理教育部重点实验室准聘副教授。IEEE/CAAI/CAA/CSIG Member。目前,主要从事人工智能核心算法及其应用的相关研究工作。


论文成果:

期刊论文

Liu Xu, Jiao Licheng, Li Lingling, Cheng Lin, Liu Fang, Yang Shuyuan, Hou Biao, Deep Multiview Union Learning Network for Multi-Source Image Classification[J]. IEEE Transactions on Cybernetics, 2020. 1-13, Doi: 10.1109/TCYB.2020.3029787. 

Liu Xu, Jiao Licheng, Tang Xu, Sun Qigong, Zhang Dan, Polarimetric Convolutional Network for PolSAR Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019. 57(5):3040-3054. 

Liu Xu, Jiao Licheng, Zhao Jiaqi, Zhao Jin, Zhang Dan, Liu Fang, Yang Shuyuan and Tang Xu. Deep Multiple Instance Learning-Based Spatial-Spectral Classification for PAN and MS Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(1):461-473. 

Mengkun Liu, Licheng Jiao, Xu Liu, Lingling Li, Fang Liu, Shuyuan Yang. C-CNN: Contourlet Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, early access, 2020, 1-14.

Li, Ge and Li, Lingling and Zhu, Hao and Liu, Xu and Jiao, Licheng. Adaptive Multiscale Deep Fusion Residual Network for Remote Sensing Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(11): 8506-8521. 

Li, Lingling and Yang, Zhengyan and Jiao, Licheng and Liu, Fang and Liu, Xu. High-Resolution SAR Change Detection Based on ROI and SPP Net[J]. IEEE Access, 2019, 7: 177009-177022. 

会议论文

Liu Xu, Jiao Licheng, Fang Liu, Zhang Dan, Xin Hou. Feature Correlation Analysis Of Two-Branch Convolutional Networks For Multi-Source Image Classification [C]//IGARSS 2019-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020.

Liu Xu, Jiao Licheng, Zhang Dan, Liu Fang, PolSAR Image Classification Based on Polarimetric Scattering Coding and Sparse Support Matrix Machine[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE,  2019:3181-3184. 

Zhang, Wenhua and Jiao, Licheng and Liu, Xu and Liu, Jia. Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 330-333.

Sun, Qigong and Li, Xiufang and Li, Lingling and Liu, Xu and Liu, Fang and Jiao, Licheng. Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 3245-3248.

Wang, Zexin and Wang, Haoran and Jiao, Licheng and Liu, Xu. Semi-Supervised Pyramid Feature Co-Training Network for Lidar Data Classification[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 2471-2474.


专利成果:

焦李成,刘旭,张丹,赵佳琦,赵进,尚荣华,侯彪,杨淑媛,马文萍,马晶晶。基于CNN和SMM的极化SAR图像地物分类方法[P],中国,ZL201610186867.X (授权专利)

焦李成,刘旭,张丹,赵佳琦,赵进,尚荣华,侯彪,杨淑媛,马文萍,马晶晶。基于深度多示例学习的极化SAR图像地物分类[P],中国,ZL201610188365.0 (授权专利)

焦李成,刘旭,张丹,唐旭,马文萍,侯彪,杨淑媛,尚荣华。一种基于稀疏散射全卷积网络的极化SAR图像分类方法[P],中国,ZL201710786485.5 (授权专利)


科研课题:

国家自然科学基金委员会:青年科学基金项目,62006177,深度多视图联合学习网络及其在多源遥感影像地物分类中的应用,2021-01-01至2024-12-31,在研,主持。

中国博士后科学基金会,面上项目,2019M663641,基于散射图卷积网络的极化SAR图像分类,2019-07至2021-07,在研,主持。

国家自然科学基金委员会,青年科学基金项目,61801351,基于实例感知深度哈希学习的高分辨SAR图像检索,2019-01至2021-12,在研,参与。

财政部和教育部,中央高校基本科研业务费,XJS201903,基于超图卷积网络的极化SAR图像分类,2020-01至2020-12,在研,主持。

财政部和教育部,中央高校基本科研业务费,JBF201905,复杂遥感影像/视频智能解译系统,2020-01至2021-12,在研,参与。


学术兼职:

审稿人

IEEE Transactions on Geoscience and Remote Sensing

IEEE Transactions on Neural Networks and Learning Systems

IEEE Transactions on Cybernetics

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

IEEE Geoscience and Remote Sensing Letters

ISPRS Journal of Photogrammetry and Remote Sensing

Information Fusion

Pattern Recognition

Remote Sensing