AERIAL TRIANGULATION WITH LEARNING-BASED TIE POINTS

9 citations as recorded by crossref.

1. Digitizing Historical Aerial Images: Evaluation of the Effects of Scanning Quality on Aerial Triangulation and Dense Image Matching A. Kostrzewa et al.
2. Enhancing the Accuracy of Digital Terrain Model in Complex Coastal Landscape: Case Study at Jupiter Inlet Lighthouse ONA, Florida N. Manikkavasagam et al.
3. AI Implementation Roadmap for Automated HBIM: Toward Standardised Digital Workflows for UK Cultural Heritage A. Gil & Y. Arayici
4. 2chADCNN: A Template Matching Network for Season-Changing UAV Aerial Images and Satellite Imagery Y. Ren et al.
5. Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring F. Ioli et al.
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7. ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry D. Marelli et al.
8. Integrating GNSS/IMU and DEM data for precise aerial triangulation: Insights from airborne hybrid systems in upper Egypt A. Wahba et al.
9. Uncertainty quantification framework for aerial and UAV photogrammetry through error propagation D. Huang & R. Qin