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Ph.D.

Email: sandyshenli@gmail.comli.shen@uwaterloo.ca

Short biography

Li ShenI am a fourth year Ph.D. student in the College of Resources Science and Technology, Beijing Normal University, China. Currently I'm a visiting  student to the VIP Lab and work with Prof. David Clausi. I received my bachelor's degree in the School of remote sensing and information engineering, Wuhan University, China.

Supervisors

David A. Clausi

Research interests

My research  is focused on pattern recognition and machine learning theory and algorithms to make an optimal decision such as identifying or classifying objects in remote sensing (RS) imageries for natural disaster reduction. Currently, I'm mainly concentrating on how to apply the probabilistic topic models to conduct semantc analysis on RS imageries.

Research topics

Computer Vision

Image Segmentation/Classification

Remote Sensing

Publications

Journal articles

Tang, H., L. Shen, Y. Qi, Y. Cehn, Y. Shu, J. Li, and D. A. Clausi, "A multi-scale latent Dirichlet allocation model for object-oriented clustering of VHR panchromatic satellite imagespdf", IEEE Transactions on Geoscience and Remote Sensing, vol. 53, issue 3, no. Part III, pp. 1680 - 1692, March, 2013. Details

Affiliation: 
University of Waterloo

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