Oblique aerial imagery for NMA - Some best practices

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 41, Issue , 2016, Pages 639-645

  Remondino, F ^a   Toschi, I ^a   Gerke, M ^b   Nex, F ^b   Holland, D ^c   McGill, A ^d   Talaya Lopez, J ^e   Magarinos, A ^e  

^a FONDAZIONE BRUNO KESSLER   (Italy)

^b UNIVERSITY OF TWENTE   (Netherlands)

^c ORDNANCE SURVEY   (United Kingdom)

^d Ordnance Survey Ireland   (Ireland)

^e ICGC Institut Cartogràfic i Geològic de Catalunya   (Spain)

Author keywords

Building reconstruction; Dense image matching; Oblique cameras; Photogrammetry

Indexed keywords

CAMERAS; IMAGE MATCHING; PHOTOGRAMMETRY; REMOTE SENSING; SOCIETIES AND INSTITUTIONS;

BUILDING RECONSTRUCTION; LARGE BUILDINGS; NATIONAL MAPPING AGENCIES; PRODUCTION LEVEL; PRODUCTION PIPELINES; RESEARCH INSTITUTIONS; RESEARCH ORGANIZATION; SERVICE PROVIDER;

AERIAL PHOTOGRAPHY;

EID: 84978174662     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XLI-B4-639-2016     Document Type: Conference Paper

References (27)

1. Fritsch, D., Kremer, J., Grimm, A., 2012: Towards all-in-one photogrammetry. GIM International, 26(4), pp. 18-23
2. Fritsch, D., Rothermel, M., 2013: Oblique image data processing - Potential, experiences and recommendations. Proc. Photogrammetric Week 2013, pp. 73-88
3. Frommholz, D., Linkiewicz, M., Meissner, H., Dahlke, D., Poznanska, A., 2015: Extracting semantically annotated 3D building models with textures from oblique aerial imagery. Int. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 40(3/W2), pp. 53-58
4. Frost & Sullivan, 2013: Strategic opportunity analysis of the global smart city market. Available at http://www.frost.com/
5. Gerke, M., and Nyaruhuma, A. P., 2009: Incorporating scene constraints into the triangulation of airborne oblique images. Int. Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 38(1-4-7/W5)
6. Gerke, M., Nex, F., Remondino, F., Jacobsen, K., Kremer, J., Karel, W., 2016: Orientation of oblique airborne image sets-Experiences from the ISPRS/EuroSDR benchmark on multi-platform photogrammetry. Int. Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 41, in press
7. Haala, N., 2014: Dense image matching final report. EuroSDR Publication Series, Official Publication No. 64, pp. 115-145
8. Haala, N., Rothermel, M., Cavegn, S., 2015: Extracting 3D urban models from oblique aerial images. IEEE Proc. Joint Urban Remote Sensing Event (JURSE), pp. 14
9. Hu, H., Zhu, Q., Du, Z., Zhang, Y., Ding, Y., 2015: Reliable spatial relationship constrained feature point matching of oblique aerial images. PE&RS, Vol. 81(1)
10. Jacobsen, K., 2008: Geometry of vertical and oblique image combinations. Proc. 28th EARSel Symposium, Istanbul, Turkey
11. Karel W., Pfeifer N., 2015: Analysis of oblique image datasets with OrientAL. In EUROSDR/ISPRS workshop "Oblique cameras and dense image matching", October 2015, Southampton, UK. Available at: http://www.eurosdr.net/workshops/eurosdrisprs-workshop-oblique-cameras-and-dense-image-matching
12. Moe, K., Toschi, I., Poli, D., Lago, F., Schreiner, K., Legat, K., Remondino, F., 2016: Changing the production pipeline - use of oblique aerial camera for mapping and cadastral update. Int. Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 41, in press
13. Nex, F., Rupnik, E., Remondino, F., 2013: Building footprints extraction from oblique imagery. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. II, pp.61-66
14. Nex, F., Gerke, M., Remondino, F., Przybilla, H.-J., Bäumker, M., Zurhorst, A., 2015: ISPRS benchmark for multi-platform photogrammetry. ISPRS Annals of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 2(3/W4), pp. 135-142
15. Nyaruhuma, A.P., Gerke, M., Vosselman, G., Mtalo, E.G., 2012: Verification of 2D building outlines using oblique airborne images. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 71, pp. 62-75
16. Ostrowski, W., Bakula, K., 2016: Towards efficiency of oblique images orientation. Int. Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 40(3/W4), pp. 91-96
17. Remondino, F., Spera, M.G., Nocerino, E., Menna, F., Nex, F., 2014: State of the art in high density image matching. The Photogrammetric Record, Vol. 29(146), pp. 144-166
18. Remondino, F., Gerke, M., 2015: Oblique aerial imagery - A review. Proc. Photogrammetric Week 2015, pp.75-83
19. Rottensteiner, F., Sohn, G., Gerke, M., Wegner, J. D., Breitkopf, U., Jung, J., 2014: Results of the ISPRS benchmark on urban object detection and 3D building reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 93, pp. 256-271
20. Rupnik, E., Nex, F., Remondino, F., 2013: Automatic orientation of large blocks of oblique images. Int. Archives of the Photogrammetry, Remote Sensing & S Spatial Information Sciences, Vol. 40(1/W1), pp. 299-304
21. Rupnik, E., Nex, F., Remondino, F., 2014: Oblique multi-camera systems - orientation and dense matching issues. Int. Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 40(3/W1), pp. 107-114
22. Rupnik, E., Nex, F., Toschi, I., Remondino, F., 2015: Aerial multicamera systems: Accuracy and block triangulation issues. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 101(60), pp.233-246
23. Toschi, I., Remondino, F., 2015: Experiences with oblique datasets: AT, dense matching and building modeling. In EUROSDR/ISPRS workshop "Oblique cameras and dense image matching", October 2015, Southampton, UK. Available at: http://www.eurosdr.net/workshops/eurosdrisprs-workshop-oblique-cameras-and-dense-image-matching
24. Wiedemann, A. and Moré, J., 2012: Orientation strategies for aerial oblique images. Int. Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, Vol. 39(B1), pp.185-189
25. Xiao, J., Gerke, M. Vosselman, G., 2012: Building extraction from oblique airborne imagery based on robust facade detection. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 68, pp. 56-68
26. Xiao, X., Guo, B., Shi, Y., Gong, W., Li, J., Zhang, C., 2013: Robust and rapid matching of oblique UAV images of urban area. SPIE Proc. 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190Y
27. Yang, H., Zhang, S., Wang, Y., 2012: Robust and precise registration of oblique images based on scale-invariant feature transformation algorithm. IEEE Geoscience and Remote Sensing Letters, Vol. 9(4), pp.783-787