Rongjun Qin
Environmental Science · The Ohio State University
Publications
204
Citations
4,174
Est. group size
~11
Recurring co-author estimate
Active years
61
Publishing since 1966
Rongjun Qin works on photogrammetry and remote sensing, developing methods to reconstruct 3D models of buildings, cities, and landscapes from aerial, satellite, and drone imagery. Recent work combines deep learning, 3D reconstruction techniques like Gaussian Splatting, and uncertainty quantification to improve mapping accuracy for applications such as building footprint extraction, land-cover classification, and glacier monitoring. The group also evaluates emerging AI-based 3D reconstruction tools and synthetic training data for large-scale urban and environmental mapping.
Publication output grew sharply from 2017 to a peak around 2020, then remained fairly steady at 18-28 papers per year through the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Uncertainty quantification framework for aerial and UAV photogrammetry through error propagation
ISPRS Journal of Photogrammetry and Remote Sensing · 2026
- Preface: Technical Commission II (Photogrammetry)
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2026
- Accurate Point Measurement in 3DGS - A New Alternative to Traditional Stereoscopic-View Based Measurements
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2026
- Improving Building Footprint Extraction Using NAIP and 3DEP Lidar Derived Features with Deep Learning
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2026
- ULSR-GS: Urban large-scale surface reconstruction Gaussian Splatting with multi-view geometric consistency
ISPRS Journal of Photogrammetry and Remote Sensing · 2025
- Weakly supervised land-cover classification of high-resolution images with low-resolution labels through optimized label refinement
International Journal of Remote Sensing · 2025
- On the Transferability of Semantic Segmentation for Very-High-Resolution Remote Sensing Data of Multi-City Environments
Photogrammetric Engineering & Remote Sensing · 2025
- Pose-graph optimization for efficient tie-point matching and 3D scene reconstruction from oblique UAV images
ISPRS Journal of Photogrammetry and Remote Sensing · 2025
- Investigating the New Ultracam Dragon Hybrid Aerial Mapping System
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2025
- Using PlanetScope-derived time-series elevation models and orthophotos to track glacier 3D dynamics in mid-latitude mountain regions
GIScience & Remote Sensing · 2025
- Synthetic Data Matters: Retraining With Geo-Typical Synthetic Labels for Building Detection
IEEE Transactions on Geoscience and Remote Sensing · 2025
- Sat2building: Lod-2 Building Reconstruction from Satellite Imagery Using Spatial Embeddings
Photogrammetric Engineering & Remote Sensing · 2025
- Deep Learning Meets Satellite Images – An Evaluation on Handcrafted and Learning-Based Features for Multi-date Satellite Stereo Images
Lecture notes in computer science · 2025
- A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
Qeios · 2025
- Skyeyes: Ground Roaming using Aerial View Images
2025
- arXiv (Cornell University)×41
- Remote Sensing×13
- ISPRS annals of the photogrammetry, remote sensing and spatial information sciences×13
- ISPRS Journal of Photogrammetry and Remote Sensing×12
- Photogrammetric Engineering & Remote Sensing×10
- Zhixin Li
Environmental Science · Purdue University West Lafayette
- Ayman Habib
Environmental Science · Purdue University West Lafayette
- Tamer Shamseldin
Environmental Science · Purdue University West Lafayette
- Yi-Chun Lin
Environmental Science · Purdue University West Lafayette
- Charles Toth
Environmental Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile