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Max Manning
Max was a Master’s student in Systems Design Engineering at the University of Waterloo. Interested in imaging and remote sensing systems, computer vision, optics, electronic hardware design, and signal processing
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Mingzhe (Major) Jiang
Mingzhe Jiang (Graduate Student Member, IEEE) received a B.Eng. degree in electronic information engineering and an M.Eng. degree in signal and information processing from the Hefei University of Technology, Hefei, China, in 2013 and 2016, respectively. He is currently pursuing a Ph.D. degree in systems design engineering at the University of Waterloo, Waterloo, ON, Canada.…
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Saeid Taleghanidoozdoozan
Saeid is a PhD graduate in the Systems Design Engineering department. He holds an M.Sc. in remote sensing from K. N. Toosi University of Technology in Tehran, Iran, where he developed a passion for applying advanced machine learning techniques to remote sensing applications.
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Linlin Xu
I am a post-doc in Vision and Image Processing Lab, working with professors David Clausi, Alexander Wong on machine learning, intelligent remote sensing analytics and environmental monitoring.
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Linlin Xu
I am a Research Assistant Professor in Vision and Image Processing Lab, working on AI, machine learning, Earth Observation and Environmental Remote Sensing projects.
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Wen Zhang
My research interests include computer vision, 3D input devices, motion capture, and computer graphics for stereoscopic applications.
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Peter Yu
My research interests include image processing, image segmentation, data fusion, image synthesis and image enhancement for both remote sensing and medical applications.
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Ying Liu
My research interests lie in multidimensional signal processing, statistical modeling, and machine learning. My work is focused on the developing methodology and application algorithms for multivariate data analysis, multiresolution representation and estimation, in particular, for image and video processing, remote sensing and scientific sensing data modeling and analysis.
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SAR Sea Ice Image Synthesis
The systematic evaluation of synthetic aperture radar (SAR) data analysis tools, such as segmentation and classification algorithms for geographic information systems, is difficult given the unavailability of ground-truth data in most cases. Therefore, testing is typically limited to small sets of pseudo ground-truth data collected manually by trained experts, or primitive synthetic sets composed of…