Browsing Systems Design Engineering by Subject "sea ice"
Now showing items 1-6 of 6
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Automated Ice-Water Classification using Dual Polarization SAR Imagery
(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
(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 ... -
Operational Sea-Ice Classification of Dual Polarized SAR Imagery
(University of Waterloo, 2023-11-28)Mapping sea ice in polar regions is crucial for research and operational applications, such as environmental modeling and ship navigation. Synthetic aperture radar (SAR) offers a dependable and efficient means of monitoring ... -
Sea ice segmentation in SAR images using Deep Learning
(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
(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 ... -
Spatial Modeling of Compact Polarimetric Synthetic Aperture Radar Imagery
(University of Waterloo, 2023-08-14)The RADARSAT Constellation Mission (RCM) utilizes compact polarimetric (CP) mode to provide data with varying resolutions, supporting a wide range of applications including oil spill detection, sea ice mapping, and land ...