PHOTOGRAMMETRY NOW AND THEN – FROM HAND-CRAFTED TO DEEP-LEARNING TIE POINTS –

11 citations as recorded by crossref.

1. Image Matching by Bare Homography F. Bellavia https://doi.org/10.1109/TIP.2023.3346682
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3. Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe S. Münster et al. https://doi.org/10.3390/heritage7020038
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5. SfM on-the-fly: A robust near real-time SfM for spatiotemporally disordered high-resolution imagery from multiple agents Z. Zhan et al. https://doi.org/10.1016/j.isprsjprs.2025.04.002
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7. A Critical Analysis of NeRF-Based 3D Reconstruction F. Remondino et al. https://doi.org/10.3390/rs15143585
8. Evaluating Deep Learning Local Features for RGB-Thermal Image Matching and 3D InfraRed Thermography L. Morelli et al. https://doi.org/10.3390/geomatics6040083
9. Local feature matching using deep learning: A survey S. Xu et al. https://doi.org/10.1016/j.inffus.2024.102344
10. Digitizing Historical Aerial Images: Evaluation of the Effects of Scanning Quality on Aerial Triangulation and Dense Image Matching A. Kostrzewa et al. https://doi.org/10.3390/app14093635
11. Giving Historical Photographs a New Perspective: Introducing Camera Orientation Parameters as New Metadata in a Large-Scale 4D Application F. Maiwald et al. https://doi.org/10.3390/rs15071879