Automated Identification and Segmentation of Hi Sources in CRAFTS Using Deep Learning Method

arXiv:2403.19912v1 Announce Type: new
Abstract: We introduce a machine learning-based method for extracting HI sources from 3D spectral data, and construct a dedicated dataset of HI sources from CRAFTS. Our custom dataset provides comprehensive resources for HI source detection. Utilizing the 3D-Unet segmentation architecture, our method reliably identifies and segments HI sources, achieving notable performance metrics with recall rates reaching 91.6% and accuracy levels at 95.7%. These outcomes substantiate the value of our custom dataset and the efficacy of our …

arxiv astro-ph.ga astro-ph.im automated crafts cs.cv deep learning identification segmentation type