JKSCE
KSCE JOURNAL OF CIVIL AND
ENVIRONMENTAL ENGINEERING RESEARCH
KSCE
Contact
ISSN : 1015-6348 (Print)
ISSN : 2799-9629 (Online)
Mobile QR Code
Journal of the Korean Society of Civil Engineers
ISO Journal Title
KSCE J. Civ. Environ. Eng. Res.
Open Access, Bi-monthly
Main Menu
Main Menu
최근호
Current Issue
논문집
Journal Archive
저널소개
About Journal
편집위원회
Editorial Board
논문투고안내
For Authors and Reviewers
윤리규정
Publication Ethics
Principles of Transparency and Best Practice
Business Model
연락처
Contact Info
논문투고
E-submission
Journal Search
Home
All Issues
2026-06
(v.46 n.3)
10.12652/Ksce.2026.46.3.0301
Journal XML
XML
PDF
INFO
REF
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.
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.
3
Haala, N. (2013). The landscape of dense image matching algorithms, Photogrammetric Week '13, 271-284.
4
Haala, N., Rothermel, M. (2012). Dense multi-stereo matching for high quality digital elevation models, Photogrammetrie, Fernerkundung, Geoinformation, 2012(4), 331-343.
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.
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.
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).
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.
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).
10
Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, 60(2), 91-110.
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.
12
National Geographic Information Institute NGII (2019). Research Report on the Advancement of Standard Workflows for True Orthoimage Production.
13
Rothermel, M., Wenzel, K., Fritsch, D., and Haala, N. (2012). SURE: Photogrammetric surface reconstruction from imagery, , 1-9, Berlin.
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).
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.