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References

1
Amhar, F., Jansa, J., Ries, C. (1998). The generation of true orthophotos using a 3D building model in conjunction with a conventional DTM, International Archives of Photogrammetry and Remote Sensing, 32(Part 4), 16-22.Google Search
2
Bittner, K., Cui, S., Reinartz, P. (2017). Building extraction from remote sensing data using fully convolutional networks, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-1/W1, 481-486.DOI
3
Haala, N. (2013). The landscape of dense image matching algorithms, Photogrammetric Week '13, 271-284.Google Search
4
Haala, N., Rothermel, M. (2012). Dense multi-stereo matching for high quality digital elevation models, Photogrammetrie, Fernerkundung, Geoinformation, 2012(4), 331-343.DOI
5
Haala, N., Rothermel, M., Cavegn, S. (2016). High density aerial image matching: State-of-the-art and future prospects, Photogrammetric Week '15, 625-630.DOI
6
Habib, A. F., Kim, E. M., Kim, C. J. (2007). New methodologies for true orthophoto generation, Photogrammetric Engineering and Remote Sensing, 73(1), 25-36.DOI
7
Habib, A., Xiong, W., He, F., Yang, H. L., and Crawford, M. (2018). True orthophoto generation from aerial frame images and LiDAR data: An update, Remote Sensing, 10(4).DOI
8
Hirschmüller, H. (2008). Stereo processing by semi-global matching and mutual information, IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(2), 328-341.DOI
9
Kerbl, B., Kopanas, G., Leimkühler, T., and Drettakis, G. (2023). 3D Gaussian splatting for real-time radiance field rendering, ACM Transactions on Graphics, 42(4).DOI
10
Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, 60(2), 91-110.DOI
11
Mildenhall, B., Srinivasan, P. P., Tancik, M., Barron, J. T., Ramamoorthi, R., and Ng, R. (2020). NeRF: Representing scenes as neural radiance fields for view synthesis, , 405-421.DOI
12
National Geographic Information Institute NGII (2019). Research Report on the Advancement of Standard Workflows for True Orthoimage Production.Google Search
13
Rothermel, M., Wenzel, K., Fritsch, D., and Haala, N. (2012). SURE: Photogrammetric surface reconstruction from imagery, , 1-9, Berlin.Google Search
14
Shin, Y. H., Kim, T., and Eo, Y. D. (2021). True orthoimage generation using airborne LiDAR data with generative adversarial network-based deep learning, Sensors, 21(4).DOI
15
Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., and Reynolds, J. M. (2012). Structure-from-Motion photogrammetry: A low-cost, effective tool for geoscience applications, Geomorphology, 179, 300-314.DOI