张帆

北京化工大学 , 教授,博士生导师 研究兴趣:高分遥感图像处理SAR图像处理高性能计算

2008年于中国科学院电子学研究所获得博士学位,随后留所从事2年星载干涉SAR方面的博士后研究,2010年至北京化工大学工作至今,2014年获国家留学基金委全额资助赴美国伊利诺伊大学香槟分校(UIUC)从事1年高性能计算方面的访学研究,2017年获国家留学基金委资助赴德国德累斯顿工业大学(TUD)进行高等教育方法学习。 多年来,从国家重大工程项目需求出发,持续从事SAR信号处理、SAR图像解译等方面的研究,主持国家自然科学基金、北京市自然科学基金、北京市高等学校青年英才计划等科研项目20余项,发表学术论文80余篇,其中SCI收录论文30余篇。

2019.10  课题组计划2019-2020年度招聘在编教师2名,欢迎SAR/光学遥感图像处理等研究领域的博士加盟,联系方式请见置底邮箱。

2019.09  尹嫱老师带队在“中科星图杯”高分遥感图像解译大赛《全极化SAR图像地物要素自动分类》项目中获得第2名的好成绩!

2019.08  课题组关于目标识别、极化分类的论文在8月份相继被IEEE SPL、IEEE GRSL、IEEE J-STARS接收!

  • 2017/12-至今,  北京化工大学信息科学与技术学院,     教授/博导

  • 2010/06-2017/11,北京化工大学信息科学与技术学院,    讲师、副教授、博导

  • 2017/09-2017/12,德国德累斯顿工业大学(TUD),       访问学者

  • 2013/12-2015/01,伊利诺伊大学香槟分校(UIUC),      访问学者


SAR信号处理

            综合信号处理、计算机等多学科知识,对合成孔径雷达端到端系统进行仿真与成像,完成雷达新体制、新成像技术研究,并借助系统对成像质量、影响因素进行分析。

SAR图像处理

            在SAR目标检测识别、极化SAR图像分类等研究基础上,针对SAR目标多角度识别、复杂场景小目标检测、小样本学习等自动化解译难题,开展有监督、弱监督、无监督的机器学习方法研究及实现。

 遥感图像应用

            结合机器学习、深度方法,围绕高光谱、可见光等遥感影像的应用需求,开展地物分类、目标识别、变化检测等方面研究,提高遥感图像信息提取能力。

 高性能计算技术

            基于图形处理器(GPU)、多核CPU开展弹载、机载、星载合成孔径雷达的仿真及成像分析,解决海量遥感的计算瓶颈,实现2个数量级以上的加速。

  1. 期刊论文
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  2. Optimal combination of polarimetric features for vegetation classification in PolSAR image
    Qiang Yin, Wen Hong, Fan Zhang*, Eric Pottier. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2019 ,accepted ,1-13
  3. SAR Target Small Sample Recognition based on CNN Cascaded Features and AdaBoost Rotation Forest
    Fan Zhang, Yunchong Wang, Jun Ni, Yongsheng Zhou*, Wei Hu. IEEE Geoscience and Remote Sensing Letters: 2019 ,accepted ,1-5
  4. Robust Weighting Nearest Regularized Subspace Classifier for PolSAR Imagery
    Jun Ni ; Fan Zhang* ; Qiang Yin ; Heng-Chao Li. IEEE Signal Processing Letters: 2019 ,Early Access ,DOI: 10.1109/LSP.2019.2937176
  5. Multi-aspect SAR target recognition based on space-fixed and space-varying scattering feature joint learning
    Fan Zhang, Zhenzhen Fu, Yongsheng Zhou*, Wei Hu and Wen Hong. Remote Sensing Letters: 2019 ,10(10) ,998-1007
  6. TreeSegNet: Automatically Constructed Tree CNNs for Subdecimeter Aerial Image Segmentation
    Kai Yue, Lei Yang, Ruirui Li, Wei Hu, Fan Zhang, Wei Li. ISPRS Journal of Photogrammetry and Remote Sensing: 2019 ,156 ,1-13
  7. Noise-Tolerant Paradigm for Training Face Recognition CNNs
    Wei Hu, Yangyu Huang, Fan Zhang, and Ruirui Li. IEEE Conference on Computer Vision and Pattern Recognition (CVPR19): 2019 ,accepted
  8. SAR Target Recognition of Imcomplete Training Datasets via Siamese Network
    Jiaxin Tang, Fan Zhang*, Qiang Yin, and Wei Hu. Journal of Engineering (SI on IET Radar Conference 2018): 2019 ,ready for publication
  9. Bayesian estimation of generalized Gamma mixture model based on variational EM algorithm
    C. Liu, H.C. Li, K. Fu, F. Zhang, M. Datcu, W.J. Emery. Pattern Recognition: 2019 ,87 ,269-284
  10. Polarimetric Calibration of the GaoFen-3 Mission Using Active Radar Calibrators and the Applicable Conditions of System Model for Radar Polarimeters
    W. Liang, Z. Jia, X. Qiu, J. Hong, Q. Zhang, B. Lei, F. Zhang, Z. Deng, A. Wang. Remote Sensing: 2019 ,11 (2) ,176
  11. Slim and Efficient Neural Network Design for Resource-Constrained SAR Target Recognition
    H. Chen, F. Zhang*, B. Tang, Q. Yin, X. Sun. Remote Sensing: 2018 ,10 ,1-16
  12. Deep CNN with Multi-Scale Rotation Invariance Features for Ship Classification
    Qiaoqiao Shi, Wei Li, Fan Zhang, Wei Hu, Xu Sun, Lianru Gao. IEEE Access: July 2018 ,6 ,38656-38668
  13. Homography Estimation Based on Order-Preserving Constraint and Similarity Measurement
    Haijiang Zhu, Xin Wen, Fan Zhang, Xuejing Wang, Guanghui Wang. IEEE Access: 2018 ,6 ,28680 - 28690
  14. SeqFace: Make full use of sequence information for face recognition
    Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li, Wei Li, Guodong Yuan. arXiv preprint: 2018 ,arXiv:1803.06524 ,1-8
  15. GPU-based fast hyperspectral image classification using joint sparse representation with spectral consistency constraint
    Lei Pan, Heng-Chao Li, Jun Ni, Chen Chen, Xiang-Dong Chen, Qian Du. Journal of Real-Time Image Processing: 2018 ,1-13 摘要 
  16. DeepUNet: A Deep Fully convolutional Network for Pixel-level Sea-Land Segmentation
    R Li, W Liu, L Yang, S Sun, W Hu, F Zhang, W Li. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2018 ,99 ,1-9
  17. Multiple Mode SAR Raw Data Simulation and Parallel Acceleration for Gaofen-3 Mission
    Fan Zhang, Xiaojie Yao, Hanyuan Tang, Qiang Yin, Yuxin Hu and Bin Lei. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: Jan. 2018 ,11(6) ,2115 - 2126
  18. Multiple features learning for ship classification in optical imagery
    L. Huang, W. Li, C. Chen, F. Zhang, H. Lang. Multimedia Tools and Applications: 1 Jun. 2018 ,77(11) ,13363-13389
  19. Multi-aspect-aware Bidirectional LSTM Networks for Synthetic Aperture Radar Target Recognition
    Fan Zhang, Chen Hu, Qiang Yin*, Wei Li, Hengchao Li, and Wen Hong. IEEE Access: 2017 ,5(1) ,26880-26891
  20. Nearest-Regularized Subspace Classification for PolSAR Imagery Using Polarimetric Feature Vector and Spatial Information
    Fan Zhang, Jun Ni, Qiang Yin*, Wei Li, Zheng Li, Yifan Liu and Wen Hong. Remote Sensing: 2017 ,9(11) ,1-21
  21. A GPU Based Memory Optimized Parallel Method For FFT Implementation
    Fan Zhang, Chen Hu, Qiang Yin, Wei Hu. arxiv.org: 23 Jul 2017 ,arXiv:1707.07263 ,1-15
  22. Hyperspectral Dimensionality Reduction by Tensor Sparse and Low-Rank Graph-Based Discriminant Analysis
    L. Pan, H.C. Li, Y.J. Deng, F. Zhang, X.D. Chen and Q. Du. Remote Sensing: May, 2017 ,9(5) ,1-20
  23. Hyperspectral Image Classification Using Deep Pixel-Pair Features
    W. Li, G. Wu, F. Zhang, and Q. Du. IEEE Transactions on Geoscience and Remote Sensing: Feb. 2017 ,55(2) ,844-853
  24. A Deep Collaborative Computing Based SAR Raw Data Simulation on Multiple CPU/GPU Platform
    F. Zhang, C. Hu, W. Li, W. Hu, P. Wang and H. Li. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: Feb. 2017 ,10(2) ,387-399
  25. A Fast Synthetic Aperture Radar Raw Data Simulation Using Cloud Computing
    Z. Li, D. Su, H. Zhu, W. Li, F. Zhang* and R. Li*. Sensors: Jan. 2017 ,17(1) ,1-16
  26. Hyperspectral Image Classification by Fusing Collaborative and Sparse Representations
    W. Li, Q. Du, F. Zhang, and W. Hu. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: Sep. 2016 ,9(9) ,4178-4187
  27. Accelerating Spaceborne SAR Imaging Using multiple CPU/GPU Deep Collaborative Computing
    F. Zhang, G. Li, W. Li, W. Hu and Y. Hu. Sensors: April 2016 ,vol.16, no.4 ,1-19
  28. Improved maximally stable extremal regions based method for the segmentation of ultrasonic liver images
    H. Zhu, J. Sheng, F. Zhang, J. Zhou, J. Wang. Multimedia Tools and Applications: 2016 ,75 (18) ,10979-10997
  29. Three-dimensional terrain model multiview quality assessment considering human visual system
    F. Zhang, X. Li, H. Liu, W. Li, W. Hu and H. Li. Journal of Applied Remote Sensing: 2015 ,vol.9, no.1 ,1-15 下载全文
  30. Accelerating Aerial Image Simulation Using Improved CPU/GPU Collaborative Computing
    F. Zhang, C. Hu, P. Wu, H. Zhang, M. Wong. Computers & Electrical Engineering: Aug. 2015 ,46 ,176-189 下载全文
  31. Accelerating Time-Domain SAR Raw Data Simulation for Large Areas Using Multi-GPUs
    F. Zhang, C. Hu, W. Li, W. Hu, and H. Li. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing: 2014 ,vol.7, no.9 ,pp. 3956-3966
  32. Multiband Microwave Imaging Analysis of Ionosphere and Troposphere Refraction for Spaceborne SAR
    F. Zhang, G. Li, W. Li, and W. Hu. International Journal of Antennas and Propagation: 2014 ,vol.2014 ,pp.1-9
  33. Deep Convolutional Neural Networks for Hyperspectral Image Classification
    W. Hu, Y. Huang, W. Li, F. Zhang, and H. Li. Journal of Sensors: 2015 ,vol.2015 ,pp.1-12
  34. Collaborative Representation Based Nearest Neighbor Classifier for Hyperspectral Imagery
    W. Li, Q. Du, F. Zhang, and W. Hu. IEEE Geoscience and Remote Sensing Letters: February 2015 ,vol. 12, no. 2 ,pp. 389-393
  35. Representation-based Classifications with Markov Random Field Model for Hyperspectral Urban Data
    M. Xiong, F. Zhang, Q. Ran, W. Hu, and W. Li. Journal of Applied Remote Sensing: July 2014 ,vol. 8, no. 1 ,doi:10.1117/1.JRS.8.085097
  36. Ray Tracing via GPU Rasterization
    W. Hu, Y. Huang, F. Zhang, G. Yuan, and W. Li. The Visual Computer: June 2014 ,vol. 30, no. 6 ,pp. 697-706
  37. The PARAFAC-MUSIC Algorithm for DOA Estimation with Doppler Frequency in a MIMO Radar System
    Nan Wang, Wenguang Wang, Fan Zhang, and Yunneng Yuan. International Journal of Antennas and Propagation: 2014 ,vol.2014 ,pp.1-5
  38. Radar Systems: Technology, Principles and Applications (GPU-based SAR raw data simulation for complex three-dimensional scene)
    F. Zhang, B.N. Wang, M.S. Xiang and W. Hong. Nova Science Publishers: 2013 ,pp. 205-222
  39. Hybrid General-Purpose Computation on GPU (GPGPU) and Computer Graphics Synthetic Aperture Radar Simulation for Complex Scenes
    F. Zhang, Z. Li, B.N. Wang, M.S. Xiang and W. Hong. International Journal of Physical Sciences: 2012 ,vol.7, no.8 ,pp.1224-1234
  40. 基于冗余计算约简的环扫SAR回波多GPU快速模拟
    胡 辰, 张 帆*, 李国君, 李 伟, 崔忠马. 雷达学报: 2015-10 ,出版中 ,1-10
  41. 基于Gabor滤波器和局部纹理特征提取的SAR目标识别算法
    王 璐, 张 帆*, 李 伟, 谢晓明, 胡 伟. 雷达学报: 2015 ,4(6) ,658-665
  42. 下视SAR数据三维表面重建
    李晓阳, 祝海江, 胡伟, 李伟, 谭维贤. 中国图象图形学报: 2015 ,已录用 ,1-8
  43. 基于分形维数的DEM聚类简化方法研究
    张帆,李晓阳,刘欢,胡伟,李伟. 系统仿真学报: 2016 ,28(2) ,1-7 下载全文
  44. 基于曲率熵和高斯混合模型的DEM简化算法研究
    李晓阳, 张帆*, 祝海江, 胡伟, 李伟. 北京化工大学学报: 2015 ,6 ,103-108
  45. 基于混合域的SAR回波快速算法
    汪丙南, 张帆, 向茂生. 电子与信息学报: 2011 ,33(3) ,pp.690-695
  46. 基线抖动对干涉SAR 相位的影响
    汪丙南, 张帆, 向茂生. 遥感学报: 2010 ,14(6) ,pp.1176-1181
  47. 基于SAR回波仿真的BAQ压缩性能研究
    张帆, 汪丙南, 向茂生. 系统仿真技术: 2010 ,6(1) ,pp.6-10
  48. 基于计算机图形学的SAR图像几何畸变仿真
    张帆, 洪文. 系统仿真学报: 2009 ,21(9) ,pp.2503-2512
  49. 基于计算机图形学的干涉SAR成像几何仿真
    张帆, 白璐, 洪文, 向茂生. 系统仿真学报: 2009 ,21(8) ,pp.2195-2200
  50. 基于网格计算的SAR回波分布式仿真
    张帆, 林殷, 洪文. 系统仿真学报: 2008 ,20(12) ,pp.3165-3170
  51. 会议论文
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  52. A Fast Inference Networks for SAR Target Few-shot Learning based on Improved Siamese Networks
    Jiaxin Tang, Fan Zhang*, Yongsheng Zlhou, Qiang Yin, and Wei Hu. IGARSS2019: ,accepted
  53. High Resolution Sar Image Synthesis with Hierarchical Generative Adversarial Networks
    Henghua Huang, Fan Zhang*, Yongsheng Zhou, Qiang Yin, and Wei Hu. IGARSS2019: ,accepted
  54. Analysis of Polarimetric Feature Combination based on PolSAR Image Classification Performance with Machine Learning Approach
    Qiang Yin, Wen Hong, Fan Zhang, Eric Pottier. IGARSS2018(Invited Sessions): 2018 ,8124 - 8127
  55. Small Sample Learning Optimization for ResNet Based SAR Target Recognition
    Zhenzhen Fu, Fan Zhang*, Qiang Yin, Ruirui Li, Wei Li. IGARSS2018: 2018 ,2330 - 2333
  56. Spaceborne Repeat-pass Interferometric Synthetic Aperture Radar Experimental Evaluation for the GaoFen-3 Satellite
    Lixiang Ma, Yu Zhu, Fan Zhang, Jian Liang, Lv zheng, Lei Liu, Yuekun Wang. IGARSS2018: 2018 ,2168 - 2171
  57. SAR Target Recognition of Incomplete Training Datasets via Siamese Network
    J. Tang, F. Zhang*, Q. Yin, W. Hu. IET Radadr Conference 2018: 2018 ,accepted ,1-4
  58. Comparison of Distributed GPU Computing Frameworks for SAR Raw Data Simulation (Oral)
    Xiaojie Yao, Fan Zhang, Xiong Sun, Qiang Yin, Wei Li. 36th IEEE International Geoscience and Remote Sensing Symposium: 2017 ,1-4
  59. Multiple Mode SAR Raw Data Simulation for Gaofen-3 Mission Evaluation
    Fan Zhang, Hanyuan Tang, Qiang Yin, Jiayin Liu, Xiaolan Qiu, Yuxin Hu. 36th IEEE International Geoscience and Remote Sensing Symposium: 2017 ,1-4
  60. A spaceborne SAR on-board processing simulator using mobile GPU
    Hanyuan Tang, Guojun Li, Fan Zhang, Wei Hu, Wei Li. 35th IEEE International Geoscience and Remote Sensing Symposium: 2016 ,2016 ,1198-1201
  61. Atomic-free optimization on GPU based SAR raw data simulation
    X. Yao, C. Hu, F. Zhang*, W. Hu and W. Li. 35th IEEE International Geoscience and Remote Sensing Symposium: 2016 ,2016 ,645-648
  62. Efficient SAR Raw Data Parallel Simulation Based on Multicore Vector Extension
    C. Hu, F. Zhang, L.X. Ma, G.J. Li, W. Hu, W. Li. 34th IEEE International Geoscience and Remote Sensing Symposium: July 2015 ,4719-4722 下载全文
  63. Accelerating SAR Imaging Using Vector Extension on Multi-core SIMD CPU
    G. Li, F. Zhang, L. Ma, W. Hu, W. Li. 34th IEEE International Geoscience and Remote Sensing Symposium: July 2015 ,537-540 下载全文
  64. Effect of Ionosphere Refraction on Spaceborne SAR Imaging Precision
    G.J. Li, F. Zhang and W. Hu. 32th IEEE International Geoscience and Remote Sensing Symposium: July 2013 ,pp.330-333
  65. Improving Hyperspectral Image Classification Using Smoothing Filter via Sparse Gradient Minimization
    W. Li, W. Hu, Q. Ran, F. Zhang, Q. Du, and N. Younan. in Proceeding of the 8th IAPR Workshop on Pattern Recognition in Remote Sensing: August 2014
  66. Collaborative Representation Based k-Nearest Neighbor Classifier for Hyperspectral Imagery
    W. Li, Q. Du, F. Zhang, and W. Hu. in Proceeding of the International Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing: June 2014
  67. GPU Rasterization Based Octree Fast Generation Algorithm for Terrain Modeling (Oral)
    H. Liu, F. Zhang and W. Hu. 32th IEEE International Geoscience and Remote Sensing Symposium: July 2013 ,pp.282-285
  68. A Novel 3D Visualization Method of SAR Data
    Y.M. Lin, F. Zhang and W. Hu. in Proc. IET International Radar Conference: April 2013 ,pp.1-4
  69. FRFT-based Improved Algorithm of Unsupervised Change Detection in SAR Images via PCA and K-means Clustering
    Y.Q. Cheng, H.C. Li, T. Celik and F. Zhang. 32th IEEE International Geoscience and Remote Sensing Symposium: April 2013 ,pp.1952 - 1955
  70. Accelerating InSAR Raw Data Simulation on GPU Using CUDA
    F. Zhang, B.N. Wang and M.S. Xiang. 29th IEEE International Geoscience and Remote Sensing Symposium: July 2010 ,pp.2932-2935
  71. Real-Time Data Compression Bias Estimation on Netted Radar
    D. Li, F. Zhang. IEEE International Conference on Signal Processing: 2010 ,pp.2152-2155
  72. SAR Raw Signal Simulation Based on GPU Parallel Computation
    B. N. Wang, F. Zhang, and M. S. Xiang. 28th IEEE International Geoscience and Remote Sensing Symposium: July 2009 ,4 ,pp.617-620
  73. Analysis of Squint Angle in Point Target Assessment
    F. Zhang and W. Hong. International Conference on Radar: Oct. 2006 ,pp.1-4
  74. SAR Image Simulation of Man-Made Scenes on Computer Graphics
    F. Zhang, W. Hong and D.J. Li. 27th IEEE International Geoscience and Remote Sensing Symposium: July 2008 ,IV ,pp.1395-1397
  75. INSAR Imaging Geometry Simulation Based on Computer Graphics
    F. Zhang, L. Bai and W. Hong. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: July 2008 ,XXXVII ,pp.781-784
  76. Chemical Waste Water Filtration Monitoring Based on Electrical Capacitance Tomography
    X. He, F. Zhang, L.X. Ma, W. Hu and W. Li. 12th International Conference on Fuzzy Systems and Knowledge Discovery: 2015 ,1893 - 1897 下载全文
  77. 专利
    ************************************************************.
  78. 基于深度协同的合成孔径雷达回波并行模拟方法
    张帆;胡辰;胡伟;李伟. 中国发明专利: 2018/06 ,CN105911532.B
  79. 合成孔径雷达成像数据三维显示的方法
    王彦平; 张帆; 谭维贤; 乞耀龙; 洪文. 中国发明专利: 2014/3 ,CN201310722014.X
  1. 2013年6月: 实验室建立

  2. 2015年1月:胡伟老师发表实验室的第一篇深度学习方面论文,至今谷歌引用300余次。      《Deep Convolutional Neural Networks for Hyperspectral Image Classification

  3. 2017年8月:第一届“航天星图杯”高分解译大赛《SAR切片图像场景分类》三等奖;第一届“眼神杯”遥感影像处理大赛优秀奖。

  4. 2018年9月:第二届“航天星图杯”高分解译大赛《SAR建筑目标识别》、《可见光地物要素分类》一等奖。

  5. 2019年9月:第三届“中科星图杯”高分解译大赛《极化SAR图像地物要素分类》二等奖。

实验室成员

   教授 :   张帆         周勇胜                

   副教授: 胡伟         尹嫱         胡峻林         冉琼

   讲师 :   李瑞瑞      

课题组毕业学生  刘欢(专利审查协作天津中心)、何雪(浙江联通)、万智鹏(深圳移动)、林一鸣(帝国理工大学博士在读)、李志鑫(Line)、李国君(今日头条)、胡辰(中科曙光)、李晓阳(企家有道网络)、苏丹丹(北京联通)、姚晓杰(360企业安全)、汤晗媛(招银网络科技)、傅真珍(中冶)

  • 本科课程

    《信号与系统》、《Matlab基础与应用》


  • 研究生课程

    《CUDA并行计算》




Email:zhangfmail.buct.edu.cn Or zhang.fan.cnieee.org

地址:北京市朝阳区北三环东路15号4号信箱

邮编:100029

更新于:2019-11-06 15:14      累计访问量:6068

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