PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING（2024）
Key words
Permafrost,Remote sensing,Data models,Training data,Satellite images,Arctic,Semisupervised learning,Semantic segmentation,Climate change,Detection algorithms,retrogressive thaw slumps (RTSs),self-distillation without labels,semantic segmentation,semi-supervised learning
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