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DTSTART:20220313T070000
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DTSTART:20221106T060000
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UID:69d5e143f24d8
DTSTART;TZID=America/Toronto:20230119T110000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/systems-design-engineering/events/grad-seminar-sea
 -ice-classification-dual-polarized-sar
LOCATION:PSE - Pearl Sullivan Engineering 200 University Ave West Faculty H
 all (7363) Waterloo ON N2L 3G1 Canada
SUMMARY:Grad Seminar: Sea ice classification with dual-polarized SAR imager
 y:\na hierarchical pipeline
CLASS:PUBLIC
DESCRIPTION:ABSTRACT\n\nSea ice mapping on synthetic aperture radar (SAR) i
 magery is important\nfor various purposes\, including ship navigation and 
 usage in\nenvironmental and climatological studies. Although a series of d
 eep\nlearning-based models have been proposed for automatic sea ice\nclass
 ification on SAR scenes\, most of them are flat N-way classifiers\nthat do
  not consider the uneven visual separability of different sea\nice types. 
 To further improve classification accuracy with limited\ntraining samples\
 , a hierarchical deep learning-based pipeline is\nproposed for sea ice map
 ping from SAR.
DTSTAMP:20260408T050155Z
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