Ningli Xu

Ningli Xu's research focuses on combining aerial and satellite imagery with ground-level views to reconstruct and understand urban and disaster-affected environments. This work involves 3D scene reconstruction, aligning point clouds captured from air and ground, and using generative AI models to synthesize realistic ground-level images from overhead satellite data, with applications including post-disaster damage assessment. The work sits at the intersection of remote sensing, photogrammetry (the science of making measurements from photographs), and computer vision.

Publication output was minimal or absent before 2020 but has grown steadily since, rising from 1-2 papers per year around 2020-2022 to about 5 per year in 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026