杨斌 (讲师)

发布时间:2020-05-06来源:nba赌注平台 浏览次数:873



杨斌


男  讲师  计算机软件与理论系   


本科生班导师  硕士研究生导师  “学术领路人”计划指导教师  


个人简介


2019年毕业于复旦大学信息科学与工程学院,获得电路与系统专业博士学位;期间曾被评为复旦大学优秀学生和上海市优秀毕业生。自20197月开始就职于东华大学nba赌注平台,从事遥感图像处理、机器学习与人工智能、计算机软件开发和应用等方面的科研与教学工作。

5年在国内外学术期刊和会议中发表论文数十篇,其中多次以第一作者在遥感领域的国际权威期刊IEEE Transactions on Geoscience and Remote Sensing(TGRS)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(JSTARS)Remote Sensing上发表长篇研究成果。2015年至今长期担任IEEE TGRSIEEE JSTARSIEEE Transactions on Image Processing(TIP)The Institution of Engineering and Technology(IET) Research Journals等国际学术期刊的审稿工作。


主要研究方向:(欢迎访问我们的实验室网站!)


高光谱遥感图像处理的理论与方法

模式识别与机器学习

计算智能与人工智能方法(群智能、多目标进化优化、深度学习等)


讲授课程:


.NET技术,人工智能导论,离散数学


期刊论文


1. Bin Yang, Zhao Chen, and Bin Wang. Nonlinear endmember identification for hyperspectral imagery via hyperpath-based simplex growing and fuzzy assessment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13(1): 351–366. (中科院SCI二区, IF: 3.392)

2. Bin Yang and Bin Wang. Band-wise nonlinear unmixing for hyperspectral imagery using an extended multilinear mixing model. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(11): 6747–6762. (中科院SCI一区(遥感top期刊)IF: 5.63)

3. Bin Yang, Bin Wang, and Zongmin Wu. Nonlinear hyperspectral unmixing based on geometric characteristics of bilinear mixture models. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(2): 694–714. (中科院SCI一区(遥感top期刊)IF: 5.63)

4. Bin Yang, Bin Wang, and Zongmin Wu. Unsupervised nonlinear hyperspectral unmixing based on bilinear mixture models via geometric projection and constrained nonnegative matrix factorization. Remote Sensing, 2018, 10(5): 801, 1–30. (中科院SCI二区,IF: 4.118)

5. Bin Yang, Wenfei Luo, and Bin Wang. Constrained nonnegative matrix factorization based on particle swarm optimization for hyperspectral unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(8): 3693–3710. (中科院SCI二区, IF: 3.392)

6. 杨斌, 王斌, 吴宗敏. 基于双线性模型的高光谱图像非线性解混, 红外与毫米波学报, 2018, 37(5): 631–641. (中科院SCI四区,IF0.266

7. 杨斌, 王斌. 高光谱遥感图像非线性解混研究综述, 红外与毫米波学报, 2017, 36(2): 173–185. (中科院SCI四区,IF0.266

8. 杨斌, 罗文斐. 约束非负矩阵分解框架下高维自适应粒子群端元提取, 遥感学报, 2015, 19(02): 240–253. (EI检索)

9. Zehao Chen, Bin Yang, Bin Wang. A preprocessing method for hyperspectral target detection based on tensor principal component analysis. Remote Sensing, 2018, 10(7): 1033, 1–21. (中科院SCI二区,IF: 4.118

10. Wenfei Luo, Lianru Gao, Antonio Plaza, Andrea Marinoni, Bin Yang, Liang Zhong, Paolo Gamba, Bing Zhang. A new algorithm for bilinear spectral unmixing of hyperspectral images using particle swarm optimization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(12): 5776–5790. (中科院SCI二区,IF3.392)

11. 智通祥, 杨斌, 王斌. 一种考虑光谱变异性的高光谱图像非线性解混算法, 红外与毫米波学报, 2019, 38(1): 115–124. (中科院SCI四区,IF0.266

12. 智通祥, 杨斌, 王斌. 基于丰度约束核非负矩阵分解的高光谱图像非线性解混, 复旦学报(自然科学版), 2018, 57(4): 429–441.

13. 覃事银, 罗文斐, 杨斌, 张锐豪. 单形体体积最小化的差分进化光谱解混算法, 中国图象图形学报, 2015, 20(11): 1535–1544.


会议论文


14. Bin Yang and Zhao Chen. An improved bilinear mixture model considering adjacency and shade effects. 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’20), Waikoloa, Hawaii, USA, 2020. (已录用)

15. Bin Yang, Bin Wang, Bo Hu, et al. Nonlinear hyperspectral unmixing via modelling band dependent nonlinearity. 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’18), Valencia, Spain, 2018, 2693–2696. EI检索)

16. Bin Yang, Bin Wang, Zongmin Wu, et al. Bilinear mixture models based unsupervised nonlinear unmixing using constrained nonnegative matrix factorization. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’17), Fort Worth, TX, 2017, 582-585. EI检索)

17. Bin Yang, Bin Wang, Zongmin Wu, et al. Abundance estimation for hyperspectral images based on bilinear mixture models. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’17), Fort Worth, TX, 2017, 644-647.EI检索)

18. Zehao Chen, Bin Yang, Bin Wang. Hyperspectral target detection: A preprocessing method based on tensor principal component analysis. 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’18), Valencia, Spain, 2018, 2753-2756.EI检索)

19. Tongxiang Zhi, Bin Yang, Zhao Chen, et al. Nonnegative matrix factorization with constraints on endmember and abundance for hyperspectral unmixing. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’17), Fort Worth, TX, 2017, 1149-1152. EI检索)

20. Zhao Chen, Bin Yang, Bin Wang, et al. Change detection in hyperspectral imagery based on spectrally-spatially regularized low-rank matrix decomposition. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS’17), Fort Worth, TX, 2017, 157-160. EI检索)


近期主持或参与的科研项目:


1. 中央高校基本科研业务费专项资金自由探索项目,基于空谱流形信息的高光谱遥感图像非线性解混方法研究,2020.01 – 2022.12,(编号:2232020D-33,在研,主持)

2. 东华大学青年教师科研启动资助项目,“基于超图学习的高光谱遥感图像非线性端元提取理论与算法实现”,2019.09 –2020.09,在研,主持

3. 国家自然科学基金面上项目,“高光谱遥感图像混合像元非线性分解理论方法及应用研究”,2016. 01 – 2019.12,(编号:61572133,在研,参与)

4. 国家自然科学基金青年项目,“高光谱图像线性光谱解混高性能并行算法研究及其在快速目标探测中的应用” ,2010. 01 – 2012.12,(编号:40901232,已结题,参与)

5. 北京师范大学地表过程与资源生态国家重点实验室开放基金项目,“基于高光谱非线性解混的植被区域地表覆盖定量分析理论与算法实现”,2017.01 – 2019.01,(编号:2017-KF-19,已结题,参与及主要完成者)


专著


1. 王斌, 杨斌. 高光谱遥感图像解混理论与方法——从线性到非线性. 北京: 科学出版社, 2019.

国家发明专利

1. 杨斌, 王斌. 一种基于双线性模型的高光谱图像非线性解混方法, 专利申请号: 201611062937.7


联系方式:


办公室:上海市松江区人民北路2999号东华大学1号学院楼108

邮编:201620

办公电话:(86)021-67792382

电子邮箱:yangb19@dhu.edu.cn


XML 地图 | Sitemap 地图