| 教授 实验室副主任 实验室责任科学家
联系方式
地址：物理楼445 Tel.:021-55664210 Email:wangbin@fudan.edu.cn
个人简介
1985年和1988年分别于西安电子科技大学电子工程系和研究生院通信与电子系统专业获学士和硕士学位。1994年日本大阪电气通信大学工学部任客员研究员，从事图像处理、模式识别方面的研究。1999年于日本神户大学研究生院系统科学专业获博士学位，从事遥感图像处理与分析的研究工作。1999年于日本邮政省国立通信综合研究所任特别研究员，从事电磁信号的处理及应用研究。2000年于日本东京电子AT株式会社任高级工程师，从事APC系统的开发与研制。2002年9月回国，在复旦大学信息学院从事多光谱、高光谱遥感图像的处理与分析、高光谱图像的特征提取与选择、分类、混合像元分解与目标探测、视觉注意力选择模型及其在遥感图像处理中的应用、智能信息处理理论、方法及应用的研究，现为IEEE 高级会员。已主持和完成多项国家自然科学基金项目、国家863项目（评为优秀）、航天支撑技术基金项目等。
研究方向
高光谱、多光谱机载星载遥感图像的处理与分析 遥感图像中的目标自动检测与识别 遥感图像智能信息处理等
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| 论文专著
在国内外重要期刊上已发表学术论文100余篇，有十余多项国家发明专利。
[1]Zhenghu Ding, Ying Yu, Bin Wang*, Liming Zhang, An Approach for Visual Attention Based on Biquaternion and Its Application for Ship Detection in Multispectral Imagery, Neurocomputing, Accepted. （属SCI检索）
[2]Ying Yu, Bin Wang*, Liming Zhang, Bottom-Up Attention: Pulsed PCA Transform and Pulsed Cosine Transform, Cognitive Neurodynamics, to appear. （属SCI检索）
[3] Ying Yu, Bin Wang*, Liming Zhang, Hebbian-Based Neural Networks for Bottom-Up Attention and Its Applications to Ship Detection in SAR Images, Neurocomputing, Vol.74, Issue 11, pp.2008-2017, May 2011. (SCI)
[4] Xuesong Liu, Wei Xia, Bin Wang* and Liming Zhang, An Approach Based on Constrained Nonnegative Matrix Factorization to Unmix Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, Vol.49, No.2, pp.757-772, 2011. (SCI,EI)
[5] Wei Xia, Xuesong Liu, Bin Wang* and Liming Zhang, Independent Component Analysis for Blind Unmixing of Hyperspectral Imagery with Additional Constraints, IEEE Transactions on Geoscience and Remote Sensing, Vol.49, No.6, pp.2165-2179, June 2011. (SCI,EI)
[6] Ying Yu, Bin Wang*, Liming Zhang, Saliency-Based Compressive Sampling for Image Signals, IEEE Signal Processing Letters, Vol.17, No.11, pp.973-976, Nov. 2010. (SCI,EI)
[7] Jing Jin, Bin Wang*, Liming Zhang, A Novel Approach Based on Fisher Discriminant Null Space for Decomposition of Mixed Pixels in Hyperspectral Imagery, IEEE Geoscience and Remote Sensing Letters, Vol.7, No.4, pp.699-703, October 2010.(SCI,EI)
[8] Lifan Liu, Bin Wang*, Liming Zhang, An Approach Based on Self-Organizing Map and Fuzzy Membership for Decomposition of Mixed Pixels in Hyperspectral Imagery, Pattern Recognition Letters, Vol.31, pp.1388-1395, 2010. (SCI,EI)
[9] Qi Ma, Liming Zhang and Bin Wang, New Strategy for Image and Video Quality Assessment, Journal of Electronic Imaging, Vol.19, No.1, 011019, pp. 1-14, Jan-Mar 2010. (SCI)
[10]Xuetao Tao, Bin Wang*, and Liming Zhang, Orthogonal Bases Approach for Decomposition of Mixed Pixels for Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters, Vol.6, No.2, pp.219-223, April 2009. (SCI, EI)
[11]Lifan Liu, Bin Wang*, Liming Zhang, Decomposition of Mixed Pixels Based on Bayesian Self-Organizing Map and Gaussian Mixture Model, Pattern Recognition Letters, Vol.30, pp.820-826, 2009. (SCI, EI)
[12] TAO Xuetao, WANG Bin*, and ZHANG LiMing, A new approach based on orthogonal bases of data space to decomposition of mixed pixels for hyperspectral imagery. Science in China Series F: Information Sciences, Vol.52, No.5, pp.843-857, May 2009. (SCI)
[13] Zhe Chen, Jianting Cao, Yang Cao, Yue Zhang, Fanji Gu, Guoxian Zhu, Zhen Hong, Bin Wang, and Andrzej Cichocki, An empirical EEG analysis in brain death diagnosis for adults, Cognitive Neurodynamics, Vol.2, No.3, pp.257-271, Sept. 2008. (SCI)
[14] GE ZhiRong, WANG Bin*, ZHANG LiMing, Remote Sensing Image Fusion Based on Baysian Linear Estimation, Science in China Series F: Information Sciences, Vol.50, No.2, pp.227-240, April 2007. (SCI)
[15] Wang Bin*, Ma Jie-ming, Zhang Li-ming, “Processing and analysis of agnetoencephalographic data based on independent component analysis,” Chinese Journal of Clinical Rehabilitation, Vol.9, No.28, pp.254-256, July 2005.
[16] Xuming Huang, Bin Wang, Liming Zhang, “A new scheme for extraction of affine invariant descriptor and affine motion estimation based on independent component analysis,” Pattern Recognition Letters, Vol.26, pp.1244-1255, 2005. (SCI, EI)
[17] B. Wang*, and L. M. Zhang, “Automated detection and removal of ghost noise from SAR image using wavelet packet transform,” IEEE Transactions on Geoscience and Remote Sensing, Vol.41, No.10, pp.2409-2414, Oct. 2003. (SCI, EI)
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