Accuracy of Digital Surface Models derived from archival aerial photographs. Case study for the Czech Republic.

Authors

DOI:

https://doi.org/10.14311/gi.16.1.3

Keywords:

archival aerial photographs, digital surface models, accuracy test

Abstract

The archival aerial photographs are widely used for landscape change analysis, settlement identification or georelief reconstructions. The large archive of old aerial photographs is available for the whole Czech Republic and these data are often used by scientists, historians, students, etc. The quality of the datasets (orthophoto, digital surface models) resulting from archival aerial images processing is crucial for the ongoing analyses. The accuracy test of digital surface models derived from archival aerial images origintaing from 1938 and 1953 is presented within this paper. These two timelines were chosen because they preserve the landscape structure in the begining of the heavy indudstrialization of the Czech Republic.

References

Aber JS, Marzolff I, Ries JB. (2010). Small-Format Aerial Photography: Principles, Techniques and Geoscience Applications. Amsterdam – London: Elsevier Science. ISBN: 9780444532602.

Brůna V, Cajthaml J, Elznicová J, Havlíček J, Müller A, Pacina J, Zimová R. (2015a). Paměť krajiny Ústeckého kraje ukrytá v mapových archivech: metody rekonstrukce a zpracování dat v oblastech zaniklých obcí [Landscape memories of the Ústí nad Labem region hidden in the map archvies: methods for reconstruction and data processing in areas of vanished municipalities]. Ústí nad Labem: Univerzita J. E. Purkyně v Ústí nad Labem, ISBN 978-80-7414-981-8.

Brůna V, Cajthaml J, Elznicová J, Havlíček J, Müller A, Pacina J, Zimová R. (2015b). Paměť krajiny Ústeckého kraje ukrytá v mapových archivech: případové studie. [Landscape memories of the Ústí nad Labem region hidden in the map archvies: case studies]. 1. Ústí nad Labem: Univerzita J. E. Purkyně v Ústí nad Labem, 2015. ISBN 978-80-7414-980-1.

Cardenala J, Mataa E, Castroa P, Delgadoa J, Hernandeza MA, Pereza, JL, Ramos M, Torresa M. (2004). Evaluation of a digital non metric camera (Canon D30) for the photogrammetric recording of historical buildings. In: Altan, Orhan (ed.). ISPRS Congress Istanbul. Vol. XXXV, Part B5, pp. 455 – 460. ISSN 1682-1750.

Pacina J, Novák K, Weiss L. (2011). 3D modelling as a tool for landscape restoration and analysis. In Environmental software systems: frameworks of Environments. Heidelberg : Springer, pp. 16. DOI 10.1007/978-3-642-22285-6.

Pacina J, Weiss L. (2011). Georelief reconstruction and analysis based on historical maps and aerial photographs. In Proceedings of Symposium GIS Ostrava 2011. VSB - Technical University of Ostrava. ISBN: 978-80-248-2366-9.

Pacina J, Novák K, Popelka J. (2012). Georelief transfiguration in areas affected by open-cast mining.Transactions in GIS. Volume 16, Issue 5, pp. 663-679. ISSN 1361-1682. DOI: 10.1111/j.1467-9671.2012.01339.x.

Pacina J, Novák K. (2014). Lake Most – How A Royal Town Can Be Transformed Into A Lake: Georelief analysis 1938 – 2012. Land use/cover changes in selected regions in the world. 1st pub. Asahikawa: IGU-LUCC, pp. 105 - 112. IGU-LUCC research reports. ISBN 9784907651107.

Pulighe G, Fava F. (2013). DEM extraction from archive aerial photos: Accuracy assessment in areas of complex topography. European Journal of Remote Sensing 46(1). DOI: 10.5721/EuJRS20134621.

Kraus K. (2007). Photogrammetry: Geometry from Images and Laser Scans, Berlin: Walter de Gruyter. ISBN: 978-3-11-019007-6.

Lo Bruto M, Meli P. (2012). Computer Vision Tools for 3D Modelling in Archaeology. International Journal of Heritage in the Digital Era. Vol. 1, no. 1, pp- 1-6. ISSN: 2047-4970.

Ullman S. (1979). The interpretation of structure from motion. Proceedings of the Royal Society of London, B203, pp. 405–426.

Quan L. (2010). Image-based Modeling. Springer, New York. ISBN 978-1-4419-6679-7.

Seitz SM, Curless B, Diebel J, Scharstein D, Szeliski R. (2006). A comparison and Evaluation of multi-view stereo reconstruction algorithms. In: Fitzgibbon, Andrew – Taylor, Camillo – J. LeCun, Yann (eds.). 2006 IEEEComputer Society Conference on Computer Vision and Pattern Recognition (CVPR’06), vol. 1. IEEE, Washington. 2006; pp. 519 - 528. DOI: 10.1109/CVPR.2006.19

Verhoeven G. (2011). Taking ComputerVision Aloft - Archaeological Three-dimensional Reconstructions from Aerial Photographswith PhotoScan. Archaeological Prospection, Issue 18, pp 67-73. DOI: 10.1002/arp.399

Verhoeven G, Doneusb M, Briese Ch, Vermeulen F. (2012). Mapping by matching: a computer vision-based approach to fast and accurate georeferencing of archaeological aerial photographs. Journal of Archaeological Science, Volume 39, Issue 7, pp. 2060–2070. DOI:10.1016/j.jas.2012.02.022

Van Damme T. (2015). Computer Vision Photogrammetry For Underwater Archaeological Site Recording In A Low-Visibility Environment. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-5/W5. DOI: 10.5194/isprsarchives-XL-5-W5-231-2015

Downloads

Published

2017-10-08

Issue

Section

Articles