University of Waterloo
Operational Sea Ice Mapping Using Deep Learning Applied to Satellite Image and User Collected Data — Following a first-place success in the European Space Agency’s AutoICE Challenge, the Vision and Image Processing Lab (VIP Lab) is continuing to advance state-of-the-art machine learning algorithms towards the automation of operational sea ice mapping using remotely sensed and ancillary data. Manual ice charting is very time consuming and limited in the number of images that can be processed. Automation of this process using artificial intelligence has been an elusive goal for decades. The researchers seek to further their solution to support Canadian operational ice mapping in partnership with the Canadian Ice Service (CIS).