Sea ice detection network for icebreakers in polar environments with attention-based deeplabv3+ architecture
Sheng Li,
Min Wang,
Jia Wu
et al.
Abstract:Shipborne sea ice detection aboard icebreakers plays a paramount role in polar navigation. The continuous evolution of deep learning semantic segmentation networks has promoted the advancement of sea ice detection tasks. At this stage, there are relatively few studies on shipboard sea ice detection, and the accuracy of polar sea ice detection will be reduced due to problems such as blurred sea fog and indistinct boundaries. In this study, a shipboard sea ice detection dataset is constructed, and a sea ice dete… Show more
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