Investigation on the automatic geo-referencing of archaeological UAV photographs by correlation with pre-existing ortho-photos

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

Volumn 40, Issue 5, 2014, Pages 307-312

  Karel, W ^a,c   Doneus, M ^a,b   Briese, C ^b,c   Verhoeven, G ^a,b   Pfeifer, N ^c  

^a UNIVERSITY OF VIENNA   (Austria)

^b LUDWIG BOLTZMANN INSTITUTE FOR LUNG VASCULAR RESEARCH   (Austria)

^c VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Archaeology; Automation; Correlation; Geo referencing; Image matching; Unmanned aerial vehicle

Indexed keywords

AERIAL PHOTOGRAPHY; ANTENNAS; UNMANNED AERIAL VEHICLES (UAV);

AERIAL VEHICLE; ARCHEOLOGY; CORRELATION; DATA SET; DIGITAL SURFACE MODELS; GEOREFERENCING; IMAGE POINTS; MATCHINGS; ORTHOPHOTOS; UNMANNED AERIAL VEHICLE;

STATISTICAL TESTS;

EID: 84924278097     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5194/isprsarchives-XL-5-307-2014     Document Type: Conference Paper

References (17)

1. Barazzetti, L., Remondino, F, Scaioni, M. and Brumana, R., 2010. Fully automatic UAV image-based sensor orientation. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII (Part 1/ICWG I/V), Calgary, Canada.
2. Bay, H., Ess, A., Tuytelaars, T. and Gool, L. V, 2008. Speeded-up robust features (SURF). Computer Vision and Image Understanding 110(3), pp. 346-359. Similarity Matching in Computer Vision and Multimedia.
3. Conte, G. and Doherty, P., 2008. An integrated UAV navigation system based on aerial image matching. In: Aerospace Conference, 2008 IEEE, pp. 1-10.
4. Delponte, E., Isgrö, E, Odone, F. and Verri, A., 2006. SVD-matching using SIFT features. Graphical Models 68(56), pp. 415-431. Special Issue on the Vision, Video and Graphics Conference 2005.
5. th International Conference on Archaeological Prospection, Austrian Academy of Sciences Press, Vienna, Austria, pp. 11-34.
6. Eisenbeiss, H. and Sauerbier, M., 2011. Investigation of UAV systems and flight modes for photogrammetric applications. The Photogrammetric Record 26(136), pp. 400-421.
7. th International Symposium on Mobile Mapping Technology, Presidente Prudente, Brazil.
8. Fischler, M. A. and Bolles, R. C, 1981. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24(6), pp. 381-395.
9. Gruen, A., 1985. Adaptive least squares correlation: a powerful image matching technique. South African Journal of Photogrammetry, Remote Sensing and Cartography 14(3), pp. 175-187.
10. Karel, W., Doneus, M., Verhoeven, G, Briese, C, Ressl, C. and Pfeifer, N., 2013. OrientAL - automatic geo-referencing and ortho-rectification of archeological aerial photographs. In: IS-PRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II-5/W1. poster presentation: International Symposium of CIPA, Strasbourg, France; 2013-09-02-2013-09-06.
11. th IEEE International Conference on, Vol. 2, pp. 1482-1489.
12. Liu, Z. and Marlet, R., 2012. Virtual line descriptor and semi-local graph matching method for reliable feature correspondence. In: Proceedings of the British Machine Vision Conference, BMVA Press, pp. 16.1-16.11.
13. Lowe, D. G., 2004. Distinctive image features from scale-invariant keypoints. International journal of computer vision 60(2), pp. 91-110.
14. Matas, J., Chum, O., Urban, M. and Pajdla, T., 2004. Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing 22(10), pp. 761-767. British Machine Vision Computing 2002.
15. Nistér, D., 2003. An efficient solution to the five-point relative pose problem. In: Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, Vol. 2, IEEE, pp. 11-195.
16. Verhoeven, G., Wieser, M., Briese, C. and Doneus, M., 2013. Positioning in time and space - cost-effective exterior orientation for airborne archeological photographs. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-5/W1. talk: International Symposium of CIPA, Strasbourg, France; 2013-09-02-2013-09-06.
17. Yang, M. Y., Cao, Y, Förstner, W. and McDonald, J., 2010. Robust wide baseline scene alignment based on 3d viewpoint normalization. In: Advances in Visual Computing, Springer, pp. 654-665.