CONTACT INFORMATION

Dr. Hong TANG

Associate Professor

Academy of Disaster Reduction and Emergence Management,

Beijing Normal University,

100875, No. 19 Street Xinjiekouwai Street,

Tel.: +86-01-5880 6401

Email: hongtang@bnu.edu.cn

RESEARCH INTEREST

My research is to follow the mechanism of human learning and similarity judgment, and design algorithms to learn from given images in order to make a better decision, e.g., identify or classify objects in new images. The focused application is to extract information from satellite or aerial images for natural disaster reduction.

PUBLICATIONS

[1] Wenbin Yi, Hong Tang, Yunhao Chen, An object-oriented semantic clustering algorithm for high resolution remote sensing images using the aspect model, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, (Accepted).

[2] Wenbin Yi, Yunhao Chen, Hong Tang, Experimental research on urban road extraction from high-resolution RS images using Probabilistic Topic Models, Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, pp. 445-448.

[3] Hong Tang, et al, On the relevance of discriminative feature, Information Sciences, 180 (2010): 3422-3433.

[4] Wenbin Yi, Hong Tang, Experimental analysis on classification of unmanned aerial vehicle images using the probabilistic latent semantic analysis, In International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 2009.

[5] Hong Tang, et al., Intra-dimensional Feature Diagnosticity in Fuzzy Feature Contrast Model, Image and Vision Computing, Vol. 26, No. 6, pp: 751-760, 2008.

[6] Hong Tang, et al., Similarity measure for satellite images with heterogeneous contents, in URBAN - 2007 - IEEE/ISPRS Joint Workshop on Remote Sensing and data fusion over urban areas, Paris (France), apr 2007.

[7] Hong Tang, et al., Nonlinear discriminant mapping using the Laplacian of a graph, Pattern Recognition, 39(1): pp: 156-159, 2006.

[8] Hong Tang, et al., Laplace Linear Discriminant Analysis, Pattern Recognition, 39(1), pp: 136-139, 2006.

[9] Hong Tang, et al., Image feature ratio model: similarity measures with both semantic and visual features in interactive image retrieval. In: Multispectral image processing and pattern recognition 2005 (MIPPR’05), Wuhan, China: SPIE Press. 2005. 52-59.

[10] Hong Tang, et al., Spectral similarity measure based on fuzzy feature contrast model, Optics Communications, Vol. 238, No. 1-3, pp: 123-137, 2004.

[11] Hong Tang, et al., Unsupervised Linear Discriminant Analysis. Journal of Shanghai Jiao tong University (Science) 11(1), pp: 40-42, 2006.

[12] Hong Tang, et al., Modeling Loosely Annotated Images with Imagined Annotations, preprint.

EDUCATION

Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai

PhD, Major: Pattern Recognition and Intelligence System,

Feb. 2003- Jan. 2006.1

Dissertation: Models and Algorithms of Image Similarity and its applications

China University of Mining and Technology, Xuzhou

Master, Major: Cartography and Geographic Information Engineering

Sep. 1998-Jul. 2001

China University of Mining and Technology, Xuzhou

Under-graduation, Major: Land Use and Land Plan

Sep. 1994-Jul. 1998

EMPLOYMENT HISTORY

Academy of Disaster Reduction and Emergence Management,

Beijing Normal University, Beijing

From Mar. 2008 to now

INRIA-Rocquencourt, FRANCE

Post-doc, Image Annotation and Indexing for Retrieval

Partly Joint with Department of Signal and Image Processing, ENST, FRANCE

Mar. 2006-Mar. 2008

Dongfang Electronics Information Industry Group Co.,Ltd, Yantai

Engineer, Application Related to Electronic System Based on GIS software

Jul. 2001-Mar. 2002

PROJECTS

Object-oriented Information Extraction from high-resolution RS images using Probabilistic Topic Models

National Scientific Fund of China (No. 40901217)

Jan. 2010- Dec. 2012