University of Waterloo

Category: Remote Sensing

  • Fan Li

    Fan Li

    My research interests lie in the fields of machine learning, computer vision, and image processing, with particular applications in remote sensing.

  • Farnoud Kazemzadeh

    Farnoud Kazemzadeh

    Design, build, and application of scientific multispectroscopic, hyperspectroscopic, and interferometric imaging systems for various sensing applications: up-looking (astronomy) and down-looking (space instrumentation, Earth sciences, biomedicine, security, military).

  • Gabriel Carballo

    Gabriel Carballo

    His research interests include airborne and spaceborne SAR and optical remote sensing, hierarchical algorithms, and the development of enterprisewide software solutions that integrate GIS and remote sensing techniques.

  • Fakhry Khellah

    Fakhry Khellah

    His research interests include statistical signal and image processing, pattern recognition, and remote-sensing applications.

  • Qiyao Yu

    Qiyao Yu

    My research interests include image segmentation, remote sensing, and video analysis. I am currently working on fast and efficient algorithms on action recognition for video surveillance. I am also interested in simultaneous localization and mapping.

  • Akshaya Mishra

    Akshaya Mishra

    Akshaya has been working in the field of image processing, pattern recognition and computer vision for nine years. He has been publishing and serving as an reviewer for several key image processing and computer vision conferences and journals.

  • Ying Liu

    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.

  • Shuhrat Ochilov

  • Li Shen

    Li Shen

    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.

  • Chenyi Liu

    Chenyi Liu

    My research interests are in the fields of remote sensing, image sparse representation and compressed sensing. I am now most interested in the techonology of using sparse representation algorithm to do image denoising, super-resolution, and medical image reconsruction, etc.