SAGUI introduces a two-stage segmentation framework for multi-band galaxy images that combines starlet decomposition, spectral similarity analysis, and copula statistics to identify structures and recover low-surface-brightness components.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
astro-ph.IM 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
SAGUI: SED-based Segmentation of Multi-band Galaxy Images -- Application to JADES in GOODS-South
SAGUI introduces a two-stage segmentation framework for multi-band galaxy images that combines starlet decomposition, spectral similarity analysis, and copula statistics to identify structures and recover low-surface-brightness components.