Now showing items 1-5 of 5

    • Automated Remote Sensing Image Interpretation with Limited Labeled Training Data 

      Li, Fan (University of Waterloo, 2015-08-24)
      Automated remote sensing image interpretation has been investigated for more than a decade. In early years, most work was based on the assumption that there are sufficient labeled samples to be used for training. However, ...
    • Deep Image Prior for Disentangling Mixed Pixels 

      Fang, Yuan (University of Waterloo, 2022-08-19)
      A mixed pixel in remotely sensed images measures the reflectance and emission from multiple target types (e.g., tree, grass, and building) from a certain area. Mixed pixels exist commonly in spaceborne hyper-/multi-spectral ...
    • Open Territory 

      Malka, Daniel Jakob (University of Waterloo, 2015-03-05)
      Territory, as an incipient design setting, is progressively displacing conventional notions of site within design research and practice, and, with this, the design professions are increasingly exploring their agency as ...
    • Predicting Sea Ice Concentration with Calibrated Uncertainty Quantification using Passive Microwave and Reanalysis Data 

      Valencia, Ray (University of Waterloo, 2022-08-31)
      The adoption of deep learning (DL) techniques in the domain of remote sensing, and specifically sea ice concentration (SIC) prediction, using passive microwave (PM) data and atmospheric climate data has seen a growing ...
    • Soil Moisture Estimation by Microwave Remote Sensing for Assimilation into WATClass 

      Kwok, Damian (University of Waterloo, 2007-09-28)
      This thesis examines the feasibility of assimilating space borne remotely-sensed microwave data into WATClass using the ensemble Kalman filter. WATClass is a meso-scale gridded hydrological model used to track water and ...

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