A blind super-resolution method with attention-guided domain adaptation improves multispectral image quality for dead tree segmentation using unpaired data, achieving Dice scores of 54-64%.
Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Multispectral Blind Image Super-Resolution for Standing Dead Tree Segmentation
A blind super-resolution method with attention-guided domain adaptation improves multispectral image quality for dead tree segmentation using unpaired data, achieving Dice scores of 54-64%.