Method of creation of digital orthophotomaps of increased informativity

• Autorzy: Dorozhynskyy O. , Kolb I.

Identyfikatory

DOI

10.15576/GLL/2018.1.7

• Języki publikacji: EN

Abstrakty

EN

The paper discusses how to apply the information on the density of three-dimensional point cloud, obtained as a result of computer stereo reconstruction of an area, based on aerial images. Images of high objects – particularly walls, treetops, bushes, etc. – in a particular area are used to create a point density map by means of GIS instruments. The information enables redistribution of the weight of cloud points in order to intensify or reduce their impact on the digital model of an area, or orthophotomap. The proposed method has been used to create orthophotomaps based on aerial images obtained from UAS.

Słowa kluczowe

EN

aerial photography; dense stereo reconstruction; digital orthophoto; building footprint extraction

PL

fotografia lotnicza; ortofotografia cyfrowa

• Wydawca: Wydawnictwo Uniwersytetu Rolniczego w Krakowie
• Czasopismo: Geomatics, Landmanagement and Landscape
• Rocznik: 2018
• Tom: no. 1
• Strony: 7--17
• Opis fizyczny: Bibliogr. 25 poz., rys.

Twórcy

autor

Dorozhynskyy O.

• University of Life Sciences in Lublin Department of Environmental Engineering and Geodesy Leszczynskiego st. 7, 20-069 Lublin, Poland

autor

Kolb I.

• Department of Photogrammetry and Geoinformation Systems Institute of Geodesy Lviv Polytechnic National University Karpinskyi st. 6/622 Lviv, Ukraine

Bibliografia

• Acar H., Ozturk M., Karsli F., Dihkan M. 2017. Automatic Extraction of Oblique Roofs for Buildings from Point Clouds Produced by High Resolution Colur-Infrared Aerial Images (9002). FIG Working Week 2017. Surveying the world of tomorrow − From digitalisation to augmented reality. Helsinki, Finland, May 29–June 2, 2017.
• American Society for Photogrammetry & Remote Sensing: LAS Specification. 2013. Version 1.4-R13, 28.
• Avbelja J., Iwaszczukc D., Muller R., Reinartza P., Stilla U. 2013. Line-based registration of dsm and hyperspectral images. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W1, ISPRS Hannover Workshop 2013, 21–24 May 2013, Hannover, Germany, 13–18; https://www.int-arch-photogramm-remote-sens-spatialinf-sci.net/XL-1-W1/13/2013/isprsarchives-XL-1-W1-13-2013.pdf (accessed: 05.03.2018).
• Baltsavias E., Mason S., Stallmann D. 1995. Use of DTMs/DSMs and orthoimages to support building extraction. Conference Paper: Monte Verità (Proceedings of the Centro Stefano Franscini, Ascona). Birkhäuser, Basel; https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/146261/eth-25207-01.pdf?sequence=1&isAllowed=y (accessed: 05.03.2018).
• Braun J. 2003. Aspects on True-Orthophoto Production. Photogrammetric Week ‘03. Dieter Fritsch (ed.), Wichmann Verlag, Heidelberg, 205–214.
• Cho P., Snavely N. 2013. 3D Exploitation of 2D Imagery. Lincoln Labor. J., 20 (1), 105–137.
• Dorozhynskyy O.L., Tukai R. 2008. Fotohrammetriia. Vydavnytstvo Natsionalnoho universytetu, Lvivska politekhnika, Lviv.
• Gehrig S.K., Eberli F., Meyer T. 2009. A Real-Time Low-Power Stereo Vision Engine Using Semi-Global Matching. [In:] Fritz M., Schiele B., Piater J.H. (ed.). Computer Vision Systems. ICVS 2009. Lecture Notes in Computer Science, vol. 5815, Springer, Berlin, Heidelberg, 134–143.
• Georgopoulos A., Makris G.N., Dermentzopoulos A. 2005. An alternative method for large scale orthophoto production. Proceedings of CIPA 2005. 20. International Symposium, 26.09–01.10, Torino, Italy.
• Haala N., Rothermel M. 2013. Dense Multi-Stereo Matching for High Quality Digital Elevation Models. Photogram. Fernerkund. Geoinf., 2012 (4), 331–343.
• Hirshmuller H. 2005. Accurate and efficient stereo processing by semi-global matching and mutual information. Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Comp. Soc. Confer., 2., 807–814.
• Hsua Y., Jhanb J., Rau J. 2012. Facade detection in oblique aerial image using object basedimage anaylysis, ACRS, 2012, Thailand, Pattaya. http://www.a-a-r-s.org/acrs/administrator/components/com_jresearch/files/publications/B5-1.pdf (accessed: 05.03.2018).
• Karantzalosa K., Koutsourakisa P., Kalisperakis I., Grammatikopoulos L. 2015. Model-based building detection from low-cost optical sensors onboard. Internat. Arch. the Photogram., Remote Sens. Spatial Inf. Sci., XL-1/W4; International Conference on Unmanned Aerial Vehicles in Geomatics, 30.08–02.09.2015, Toronto, Canada, 293–297.
• Maltezos E., Ioannidis C. 2015. Automatic detection of building points from lidar and dense image matching point clouds. ISPRS Annals of the Photogrammetry, Remote Sens. Spatial Inform. Sci., II-3/W5; ISPRS Geospatial Week 2015, 28.09–03.10.2015, La Grande Motte, France, 33–40.
• Nex F., Rupnik E., Remondino F. 2013. Building footprints extraction from oblique imagery. ISPRS Ann. Photogram., Remote Sens. Spatial Inform. Sci., II-3/W3, CMRT13 – City Models, Roads and Traffic, 12–13.11.2013, Antalya, Turkey, 61–66.
• Ok A. 2009. Automated description of 2-d building boundaries from a single colour aerial orthoimage. Proceedings of ISPRS, High Res. Earth Imag. for Geospat. Inf, 1417–1420 http://www.isprs.org/proceedings/XXXVIII/1_4_7-W5/paper/Ok-150.pdf (accessed: 05.03.2018).
• Remondino F., Spera G., Nocerino E., Menna F., Nex F., Barsanti S. 2013. Dense image matching: Comparisons and analyses, 10.1109; Digital Heritage, 6743712.
• Rothermel M., Haala N., Wenzel K., Bulatov D. 2014. Fast and Robust Generation of Semantic Urban Terrain Models from UAV Video Streams. 22nd International Conference on Pattern Recognition, Stockholm, 592–597.
• Rothermel M., Wenzel K., Fritsch D., Haala N. 2012. SURE: Photogrammetric Surface Reconstruction from Imagery. Proceedings LC3D Workshop, Berlin, December 2012.
• Sauerbier M. 2004. Аccuracy of automated aerotriangulation and dtm generation for low textured imagery. ISPRS Archives, 35 (B2), 521–526. http://www.isprs.org/proceedings/XXXV/congress/comm2/papers/184.pdf (accessed: 05.03.2018).
• Skarlatos D. 1999. Orthophotograph Production in Urban Areas. The Photogram. Rec., 16, 643–650.
• Skarlatos D., Kiparissi S., Theodoridou S. 2013. Direct Orthophoto Generation from Color Point Clouds of Complex Scenes. International Archives of the Photogrammetry, Remote Sens. Spatial Inform. Sci., XL-1/W2, UAV-g2013, 4–6 September 2013, Rostock, Germany, 367–371.
• Sonyushkin A.V. 2016. Perfection of the technology of creating orthophotos on high-resolution space images (PhD dissertation). Moscow State University of Geodesy and Cartography. https://istina.msu.ru/download/30140562/1eBpGv:zg-bgjGULllp_Qefom8pbgl9xCE/ (accessed: 05.03.2018).
• Strecha C., Van Gool L., Fua P. 2008. A generative model for true orthorectification. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3a. Beijing 2008, 303–308.
• Watson D.F., Philip G.M. 1985. A Refinement of Inverse Distance Weighted Interpolation. Geoprocessing, 2, 315–327.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).