Panoptic Segmentation of Galactic Structures in LSB Images
Felix Richards,
Adeline Paiement,
Xianghua Xie
et al.
Abstract:We explore the use of deep learning to localise galactic structures in low surface brightness (LSB) images. LSB imaging reveals many interesting structures, though these are frequently confused with galactic dust contamination, due to a strong local visual similarity. We propose a novel unified approach to multi-class segmentation of galactic structures and of extended amorphous image contaminants. Our panoptic segmentation model combines Mask R-CNN with a contaminant specialised network and utilises an adapti… Show more
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