Now showing items 1-4 of 4

    • Automated Ice-Water Classification using Dual Polarization SAR Imagery 

      Leigh, Steve (University of Waterloo, 2013-08-19)
      Mapping ice and open water in ocean bodies is important for numerous purposes including environmental analysis and ship navigation. The Canadian Ice Service (CIS) currently has several expert ice analysts manually generate ...
    • 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 ...
    • Sea ice segmentation in SAR images using Deep Learning 

      Nagi, Anmol Sharan (University of Waterloo, 2020-09-17)
      Sea ice covers over seven percent of the world's oceans. Due to the effect of global warming, Arctic's ice extent has decreased significantly in the past decades. This reduction in sea ice cover is opening new pathways for ...
    • Segmentation of RADARSAT-2 Dual-Polarization Sea Ice Imagery 

      Yu, Peter (University of Waterloo, 2009-09-24)
      The mapping of sea ice is an important task for understanding global climate and for safe shipping. Currently, sea ice maps are created by human analysts with the help of remote sensing imagery, including synthetic aperture ...


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