Staff Profile

Hong Tang

Professor of Cartography and Geographic Information Engineering



2003/2 - 2006/1, Shanghai Jiaotong University, Pattern Recognition and Intelligent Systems, Doctor, Supervisor: Pengfei Shi

1998/9 - 2001/7, China University of Mining and Technology, Cartography and Geographic Information Engineering, Master, Supervisor: Yehua Sheng

1994/9 - 1998/7, China University of Mining and Technology, Land Planning and Utilization, Bachelor

Working Experience

2014/7 - Present, Beijing Normal University, Academy of Disaster Reduction and Emergency Management, Professor

2008/7 - 2014/7, Beijing Normal University, Academy of Disaster Reduction and Emergency Management, Associate Professor

2008/5 - 2008/7, Beijing Normal University, Academy of Disaster Reduction and Emergency Management, Lecturer

2006/3 - 2008/3, Institut national de recherche en informatique et en automatique (INRIA), Post doctoral researcher

Academic Research

  • 2012/01 - 2016/12, The National Key Technology R&D Program of China, No.2012BAH27B01, Seismic Hazard Monitoring and Assessment Methods, 0.42 million RMB, Understudied, Participant

  • 2011/07 - 2015/07, The National Key Basic Research Program of China (973 Program), No.2011CB707102, The Cooperative Observation Method of Space-air-ground Multi-sensor Driven by Event, 0.7 million RMB, Understudied, Participant

  • 2012/01 - 2014/12, The National High Technology Research and Development Program of China (863 Program), No.2012AA121302, Remote Sensing Monitoring and Early Warning of Large Landslide, 0.42 million RMB, Finish, Participant

  • 2012/01 - 2014/12, Program for New Century Excellent Talents in UniversityNo.NECT-11-0039, The Probabilistic Topic Model of Overlapping Image and Semantic Unchanged and Its Application in High Resolution Image Classification, 0.5 million RMB, Finish, Principal Investigator

  • 2010/01 - 2012/12, The National Natural Science Foundation of China, No.40901217, Research on the Key Technology of High Resolution Remote Sensing Image Analysis of Object-oriented and Its Application Based on Probabilistic Latent Semantic Analysis Model, 0.28 million RMB, Finish, Principal Investigator

Key Publications

      Articles: academic

  • L. Shen, H. Tang, Y. Chen, et al. A Semi-supervised Latent Dirichlet Allocation Model for Object-Based Classification of VHR Panchromatic Satellite Images, IEEE Geoscience and Remote Sensing Letters, 2014, 11(4):863-867. DOI: 10.1007/s12517-015-1822-7, DOI:10.1109/LGRS.2013.2280298.

  • H. Tang, L. Shen, Y. Qi, et al. A multiscale latent Dirichlet allocation model for object-oriented clustering of VHR panchromatic satellite images, IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(3): 1680-1692. DOI: 10.1109/TGRS.2012.2205579.

  • H. Tang, A. Gong, S. Li, et al. Similarity Measures of Satellite Images Using an Adaptive Feature Contrast Model, International Journal of Geosciences, 2013, 4, 329-343. DOI:10.4236/ijg.2013.42 031.

  • Y. Shen, L. Wu, L. Di, G. Yu, H. Tang, et al. Hidden Markov Models for Real-Time Estimation of Corn Progress Stages Using MODIS and Meteorological Data, Remote Sensing, 2013, 5: 1734-1753. DOI:10.3390/rs5041734.

  • H. Tang, N Boujemaa, Y Chen, et al. Modeling loosely annotated images using both given and imagined annotations, Optical Engineering, 2011, 50(12): 127004-1~127004-8. DOI:10.1117/1.3660575.

  • W.B., Yi, H., Tang, et al. An Object-Oriented Semantic Clustering Algorithm for High-Resolution Remote Sensing Images Using the Aspect Model, IEEE Geoscience and Remote Sensing Letters, 2011, 8(3):521-525. DOI: 10.1109/LGRS.2010.2090034.

  • H. Tang, T. Fang, P. Du, et al. Intra-dimensional Feature Diagnosticity in Fuzzy Feature Contrast Model, Image and Vision Computing, 2008, 26(6): 751-760. DOI:10.1016/j.i mavis.2007.08.009.

  • H. Tang, T. Fang, P. Shi. Nonlinear discriminant mapping using the Laplacian of a graph, Pattern Recognition, 2006, 39(1): 156-159. DOI:10.1016/j.imavis.2007.0 8.009.

  • H. Tang, T. Fang, P. Shi. Spectral similarity measure based on fuzzy feature contrast model, Optics Communications, 2004, 238(1-3): 123-137.  DOI:10.1016/j.opt com.2004.04.030.