High-Accuracy Satellite Image Analysis and Rapid DSM Extraction for Urban Environment Evaluations (Tripoli-Libya)
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32804
High-Accuracy Satellite Image Analysis and Rapid DSM Extraction for Urban Environment Evaluations (Tripoli-Libya)

Authors: Abdunaser Abduelmula, Maria Luisa M. Bastos, José A. Gonçalves

Abstract:

Modelling of the earth's surface and evaluation of urban environment, with 3D models, is an important research topic. New stereo capabilities of high resolution optical satellites images, such as the tri-stereo mode of Pleiades, combined with new image matching algorithms, are now available and can be applied in urban area analysis. In addition, photogrammetry software packages gained new, more efficient matching algorithms, such as SGM, as well as improved filters to deal with shadow areas, can achieve more dense and more precise results. This paper describes a comparison between 3D data extracted from tri-stereo and dual stereo satellite images, combined with pixel based matching and Wallis filter. The aim was to improve the accuracy of 3D models especially in urban areas, in order to assess if satellite images are appropriate for a rapid evaluation of urban environments. The results showed that 3D models achieved by Pleiades tri-stereo outperformed, both in terms of accuracy and detail, the result obtained from a Geo-eye pair. The assessment was made with reference digital surface models derived from high resolution aerial photography. This could mean that tri-stereo images can be successfully used for the proposed urban change analyses.

Keywords: 3D Models, Environment, Matching, Pleiades.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1099440

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2645

References:


[1] French Space Agency, “Pleiades Imagery User’s Manual”, Version 2.0. Astrium, CNES, April 2012, pp.5-8, 75-86.
[2] D. A. Holland, D. S. Boyd, and P. Marshall, “Updating topographic mapping in Great Britain from high resolution satellite sensors”, ISPRS Journal of Photogrammetry and remote sensing, Vol. 60(3), 2006, pp. 212-223.
[3] K. Jacobsen, “Satellite Image Orientation”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, Vol. XXXVII, Part B1, 2008, pp. 709-709.
[4] K. Tempfli, N. Kerle, L.L. Janssen, and G.C. Huurneman, “Principles of Remote Sensing”. Educational Text Book Series, International Institute for Geo-information Science and Earth Observation, (ITC), 2004, ch.6
[5] L. Zhang, “Automatic Digital Surface Model Generation from Linear Array Images”, PhD Thesis, Institute of Geodesy and Photogrammetry. Swiss Federal Institute of Technology (ETH), Zurich, 2005.
[6] M. L. Hobi and C. Ginzler, “Accuracy Assessment of Digital Surface Models based on WorldView-2 and ADS80 Stereo Remote Sensing Data”, Sensors - Open Access Journal, Vol. 12(5), 2012, pp. 6347–6368.
[7] M. M. Saldaña, M.A. Aguilar, F.J. Aguilar and I. Fernández, “DSM extraction and evaluation from Geo-eye stereo imagery”, ISPRS, Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Melbourne, Australia, Vol. I-4, 2012, pp. 113-117.
[8] P. Capaldo, M. Crespi, F. Fratarcangeli, A. Nascetti and F. Pieralice, “DSM generation from high resolution imagery; applications with WorldView-1 and Geoeye-1”, Italian Journal of Remote Sensing, Vol. 44 (1), 2012, pp. 41-52.
[9] PCI Geomatica, 2013. http://www.pcigeomatics.com/pdf/pleiades_dem_ extraction_and_dsm_to_dtm_conversion.pdf.
[10] T., Kraußa, P., Reinartza and U., Stillab, “Extracting Orthogonal Building Objects in Urban Areas from HRS Images Pairs”. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 36 (3/W49B), Munich, Germany, 2007, pp. 77-82.