RECOGNIZING LANDSCAPES: CAN WE CHANGE THE POINT OF VIEW OF GEOGRAPHIC DATA
Keywords:historical map, landscape, panorama, SDI, spatial data, UAV
This paper presents a methodology able to handle georeferenced panoramas (GeoPans) projected on 3D models for the integration of landscapes into digital environments. This is not a simple task because the typical visualization (say vertical point of view) through geographic data and GIS software does not fulfil a fundamental request: the virtual reproduction of the human eye at head height. This means that a transition from aerial images to ground (terrestrial) data is mandatory. In addition, an improvement of SDI able to generate innovative typologies of representation is needed. In this work a methodological approach aimed at rediscovering and correlating 3D reconstructions of landscapes with the typical human vision is illustrated. This contribution investigates the potential of panoramic view reconstruction and simulation from images acquired by RC/UAV and by multi-sensor terrestrial platforms (photoGPS) along with existing cartographic data. The main aim is the generation of multiple visual models able to simulate real scenarios at head height (or low altitude above ground). Examples and case studies are illustrated and discussed to prove the complexity of the problem, which requires not only new algorithms and procedures for data acquisition and processing, but also a modification of the traditional 2.5D representation of geographic data.
Luhmann, T., Robson, S., Kyle, S. and Harley, I. Close Range Photogrammetry: Principles,
Techniques and Applications. John Wiley & Sons, 528 pages, 2007.
INSPIRE EU-Directive 2007/2/EC. In: Official Journal of the European Union, L108/1(50)
Bitelli G., Cremonini S. and Gatta G. Ancient map comparisons and georeferencing techniques:
A case study from the Po River Delta (Italy). e-Perimetron 4, 4, 221-233, 2009.
Brovelli, M.A., Minghini, M. and Zamboni, G. Valorisation of Como historical cadastral maps
through modern web geoservices. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-
, 287-292, 2012.
Brumana, R., Oreni, D., Cuca, B., Rampini, A. and Pepe, M. Open Access to Historical Atlas:
Sources of Information and Services for Landscape Analysis in an SDI Framework, Lecture
Notes in Computer Science, 7334, 397-413, 2012.
Fraser, C.S. Automatic camera calibration in Close Range Photogrammetry, Photogramm.
Eng. & Rem. Sens, 79, 4, 381-388, 2013.
Popelka, S. and Vozenilek, V. Landscape Visibility Analysis and Their Visualisation,
IAPRSSIS, vol. XXXVIII-4/W13, 1-8, 2010.
Oreni, D., Brumana, R., and Cuca, B. Towards a methodology for 3D content models: The
reconstruction of ancient vaults for maintenance and structural behaviour in the logic of BIM
management. Proceedings of the 2012 18th International Conference on Virtual Systems and
Multimedia, VSMM 2012: Virtual Systems in the Information Society, art. no. 6365961, pp.
Oreni, D., Cuca, B. and Brumana, R. Three-dimensional virtual models for better comprehension
of architectural heritage construction techniques and its maintenance over time. Lecture
Notes in Computer Science, 7616, 533-542, 2012.
Previtali, M., Barazzetti, L. and Scaioni, M. An automated and accurate procedure for texture
mapping. Proc. of the Virtual Systems in the Information Society (VSMM) 2012, 591-594,
Brown, M. and Lowe, D.G. Automatic Panoramic Image Stitching using Invariant Features,
International Journal of Computer Vision, 74, 1, 59-73, 2005.
Hartley, R.I. and Zisserman, A., Multiple View Geometry in Computer Vision. Cambridge
University Press, pp. 672, 2004.
Eugster, H. and Nebiker, S. UAV-Based Augmented Monitoring Real-Time Georeferencing
and Integration of Video Imagery with Virtual Globes. IAPRSSIS, 37(B1), 1229-1235, 2008.
Barazzetti, L., Forlani, G., Remondino, F., Roncella, R. and Scaioni, M. Experiences and
achievements in automated image sequence orientation for close-range photogrammetric projects.
SPIE Optics+Photonics, 8085, 13 pages, 2011.
Barazzetti, L., Remondino, F. and Scaioni, M. Combined use of photogrammetric and computer
vision techniques for fully automated and accurate 3D modeling of terrestrial objects.
Videometrics, Range Imaging and Applications X, SPIE Optics+Photonics, Vol. 7447, 2009.