Benchmarking High Density Image Matching for Oblique Airborne Imagery

23 citations as recorded by crossref.

1. Automatic Rough Georeferencing of Multiview Oblique and Vertical Aerial Image Datasets of Urban Scenes S. Verykokou & C. Ioannidis 10.1111/phor.12156
2. A Method for 3D Reconstruction of the Ming and Qing Official-Style Roof Using a Decorative Components Template Library P. Huo et al. 10.3390/ijgi9100570
3. A New Fusion Algorithm for Depth Images Based on Virtual Views J. Liu et al. 10.1109/TGRS.2019.2944303
4. An asymmetric re-weighting method for the precision combined bundle adjustment of aerial oblique images L. Xie et al. 10.1016/j.isprsjprs.2016.03.017
5. Methodology of improvement of radiometric quality of images acquired from low altitudes M. Kedzierski & D. Wierzbicki 10.1016/j.measurement.2016.06.003
6. A UAV-based panoramic oblique photogrammetry (POP) approach using spherical projection X. Zhang et al. 10.1016/j.isprsjprs.2019.11.016
7. RBA: Reduced Bundle Adjustment for oblique aerial photogrammetry Y. Sun et al. 10.1016/j.isprsjprs.2016.09.005
8. A Multi-View Dense Image Matching Method for High-Resolution Aerial Imagery Based on a Graph Network L. Yan et al. 10.3390/rs8100799
9. An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo dataset T. Wu et al. 10.1016/j.jag.2024.103715
10. Stable least-squares matching for oblique images using bound constrained optimization and a robust loss function H. Hu et al. 10.1016/j.isprsjprs.2016.03.019
11. Dense Stereo Matching Strategy for Oblique Images That Considers the Plane Directions in Urban Areas J. Liu et al. 10.1109/TGRS.2020.2972312
12. Deep learning based multi-view stereo matching and 3D scene reconstruction from oblique aerial images J. Liu et al. 10.1016/j.isprsjprs.2023.08.015
13. Depth-enhanced feature pyramid network for occlusion-aware verification of buildings from oblique images Q. Zhu et al. 10.1016/j.isprsjprs.2021.01.025
14. Cloud-Based Geospatial 3D Image Spaces—A Powerful Urban Model for the Smart City S. Nebiker et al. 10.3390/ijgi4042267
15. A patch-based method for the evaluation of dense image matching quality Z. Zhang et al. 10.1016/j.jag.2018.04.002
16. Oblique aerial images: a review focusing on georeferencing procedures S. Verykokou & C. Ioannidis 10.1080/01431161.2018.1444294
17. Aerial multi-camera systems: Accuracy and block triangulation issues E. Rupnik et al. 10.1016/j.isprsjprs.2014.12.020
18. A Comparative Analysis of Deep Learning Approaches for Visual Perception Benchmarks in Ship Navigation R. Zhang et al. 10.1007/s11804-025-00703-7
19. Radiometric quality assessment of images acquired by UAV’s in various lighting and weather conditions M. Kedzierski & D. Wierzbicki 10.1016/j.measurement.2015.08.003
20. Estimating tree stem diameters and volume from smartphone photogrammetric point clouds M. Marzulli et al. 10.1093/forestry/cpz067
21. Surface Reconstruction Assessment in Photogrammetric Applications E. Nocerino et al. 10.3390/s20205863
22. Towards depth estimation in a single aerial image L. Pellegrin & J. Martinez-Carranza 10.1080/01431161.2019.1681601
23. Exterior orientation estimation of oblique aerial images using SfM-based robust bundle adjustment S. Verykokou & C. Ioannidis 10.1080/01431161.2020.1755737