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DTSTART;TZID=America/Toronto:20230119T110000
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URL:/systems-design-engineering/events/grad-seminar-sea
 -ice-classification-dual-polarized-sar
SUMMARY:Grad Seminar: Sea ice classification with dual-polarized SAR imager
 y:\na hierarchical pipeline
CLASS:PUBLIC
DESCRIPTION:Summary \n\nABSTRACT\n\nSea ice mapping on synthetic aperture r
 adar (SAR) imagery is important\nfor various purposes\, including ship nav
 igation and usage in\nenvironmental and climatological studies. Although a
  series of deep\nlearning-based models have been proposed for automatic se
 a ice\nclassification on SAR scenes\, most of them are flat N-way classifi
 ers\nthat do not consider the uneven visual separability of different sea\
 nice types. To further improve classification accuracy with limited\ntrain
 ing samples\, a hierarchical deep learning-based pipeline is\nproposed for
  sea ice mapping from SAR.\n 
DTSTAMP:20250520T113318Z
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