姓 名 徐洋 性 别 男
出生年月 1990年1月 籍贯
民 族 汉族 政治面貌 党员
最后学历 博士研究生 最后学位 工学博士
技术职称 副教授 导师类别 硕士生导师
导师类型 校内 兼职导师 否
行政职务 Email xuyangth90@gmail.com
工作单位 南京理工大学 邮政编码 210094
通讯地址 南京理工大学
单位电话 **
个人主页


指导学科
学科专业(主) 0812|计算机科学与技术 招生类别 硕士 所在学院 计算机科学与工程学院
研究方向 图像处理，模式识别，遥感图像分析



科研项目
1. 国家自然科学基金项目（青年），**，空谱自适应张量表示的高光谱图像目标检测方法研究，2018.01-2020.在研，主持
2.江苏省自然科学基金（青年），BK**，自适应张量表示的高光谱图像联合超分辨与目标检测方法研究，2017.07-2019.06，在研，主持
3.中国博士后科学基金面上项目，2017M611814，空谱自适应张量表示的高光谱图像联合超分辨方法研究，2017.06-2019.05，在研，主持
4中国博士后科学基金特别资助，张量字典学习高光谱图像融合计算成像理论与算法，在研，主持
5.江苏省博士后基金，在研，主持
5.国家自然科学基金项目（面上），**，联合空谱上下文的高光谱遥感图像低秩表示分类理论与算法，2015.01-2018.12，83万元，在研，参加

发表论文
Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation Yang Xu, Zebin Wu, Jocelyn Chanussto, Zhihui Wei：IEEE Transactions on Neural Network and Learning System, 2020.
Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion Yang Xu, Zebin Wu, Jocelyn Chanussot, Pierre Comon, Zhihui Wei: , IEEE Trans. Geoscience and Remote Sensing, 58(1): 348-362(2020).
Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution. Yang Xu,Zebin Wu,Jocelyn Chanussot,Zhihui Wei:IEEE Trans. Image Processing28(6):3034-3047(2019)
Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background Zebin Wu, Wei Zhu, Jocelyn Chanussot, Yang Xu, Stanley J. Osher:. IEEE Trans. Signal Processing 67(14): 3858-3869 (2019)
Joint reconstruction and anomaly detection from compressive hyperspectral images using Mahalanobis distance-regularized tensor RPCA
Xu, Yang and Wu, Zebin and Chanussot, Jocelyn and Wei, Zhihui.IEEE Transactions on Geoscience and Remote Sensing:2018,56(5),2919--2930
Low-rank decomposition and total variation regularization of hyperspectral video sequences
Xu, Yang and Wu, Zebin and Chanussot, Jocelyn and Dalla Mura, Mauro and Bertozzi, Andrea L and Wei, Zhihui.IEEE Transactions on Geoscience and Remote Sensing:2018,56(3),1680--1694
Anomaly detection in hyperspectral images based on low-rank and sparse representation
Xu, Yang and Wu, Zebin and Li, Jun and Plaza, Antonio and Wei, Zhihui.IEEE Transactions on Geoscience and Remote Sensing:2016,54(4),1990--2000
Spectral--spatial classification of hyperspectral image based on low-rank decomposition
Xu, Yang and Wu, Zebin and Wei, Zhihui.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2015,8(6),2370--2380
A Target Detection Method Based on Low-Rank Regularized Least Squares Model for Hyperspectral Images.
Xu, Yang and Wu, Zebin and Xiao, Fu and Zhan, Tianming and Wei, Zhihui.IEEE Geosci. Remote Sensing Lett.:2016,13(8),1129--1133
Joint sparse hyperspectral image classification based on adaptive spatial context
Xu, Yang and Wu, Zebin and Wei, Zhi-Hui.Journal of Applied Remote Sensing:2014,8(1),083552
GAS plume detection in hyperspectral video sequence using low rank representation
Xu, Yang and Wu, Zebin and Wei, Zhihui and Dalla Mura, Mauro and Chanussot, Jocelyn and Bertozzi, Andrea.Image Processing (ICIP), 2016 IEEE International Conference on:2016,2221--2225
Hyperspectral image classification using multilayer superpixel graph and loopy belief propagation
Zhan, Tianming and Xu, Yang and Sun, Le and Wu, Zebin and Zhan, Yongzhao.Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International:2015,1690--1693
A novel hyperspectral image anomaly detection method based on low rank representation
Xu, Yang and Wu, Zebin and Wei, Zhihui and Liu, Hongyi and Xu, Xiong.Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International:2015,4444--4447
Markov random field with homogeneous areas priors for hyperspectral image classification
Xu, Yang and Wu, Zebin and Wei, Zhihui.Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International:2014,3426--3429
Homogeneous region based low rank representation in hidden field for hyperspectral classification
Sun, Le and Jeon, Byeungwoo and Zheng, Yuhui and Xu, Yang and Wu, Zebin.Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International:2017,4758--4761
Multiple features fusion for hyperspectral image classification based on extreme learning machine
Liu, Wei and Wu, Zebin and Wei, Jie and Deng, Weishi and Xu, Yang and Du, Lu and Wei, Zhihui.Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International:2017,3218--3221
Kernel low-rank representation for hyperspectral image classification
Du, Lu and Wu, Zebin and Xu, Yang and Liu, Wei and Wei, Zhihui.Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International:2016,477--480