2 papers
astro-ph.IM2026
Background Intensity Estimation for Cassini-ISS Image Using Deep Learning-Based Diffusion Model
Yongxin Chen, Qingfeng Zhang, Tianle Zhou +1
Accurate background intensity estimation is crucial for precise astrometric measurements in astronomical imaging, particularly in complex scenarios such as those encountered in Cas…
astro-ph.IM2026
Automated Shape-Model-Based Astrometry of Phobos from Mars Express SRC Images
Wangxin Lai, Qingfeng Zhang, Rui Zhang +4
High-resolution spacecraft images provide important astrometric constraints for orbit refinement, but measurements of resolved bodies are often limited by labor-intensive control-p…