Now showing items 1-5 of 5

    • Classification of Compact Polarimetric Synthetic Aperture Radar Images 

      Ghanbari, Mohsen (University of Waterloo, 2021-08-27)
      The RADARSAT Constellation Mission (RCM) was launched in June 2019. RCM, in addition to dual-polarization (DP) and fully quad-polarimetric (QP) imaging modes, provides compact polarimetric (CP) mode data. A CP synthetic ...
    • Correction Methods for Non-Stationary Noise Floor in Sentinel-1 Images Using Convex Optimization 

      Lee, Peter Q. (University of Waterloo, 2020-09-03)
      Synthetic aperture radar (SAR) is a method of creating images of the surface of the Earth by emitting and receiving radar waves. Sentinel-1 is a SAR platform made by the European Space Agency (ESA) that provides a source ...
    • 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 ...
    • Deep Learning Based Building Extraction from High-Resolution Remote Sensing Images 

      Wu, Yifan (University of Waterloo, 2022-07-11)
      Building extraction from remote sensing images is a critical task to support various applications such as cartography, disaster response, and urban planning. The automation of this task is an active research area due to ...
    • Mixture Regression for Sea Ice Segmentation 

      Manning, Max (University of Waterloo, 2022-12-23)
      The classification of sea ice in SAR imagery is complicated by statistical nonstationarity. Incidence angle effects, heterogeneous ice conditions and other confounding variables contribute to spatial and temporal variability ...


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