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Low-Level Aerial Photogrammetry as a Source of Supplementary Data for ALS Measurements

Abstrakt

The development of laser scanning technology ALS allows to make high-resolution measurements for large areas result-ing in significant reduction of costs. The main stakeholders at heights data received from the airborne laser scanning is mainly state administration. The state institutions appear among projects such as ISOK. Each point is classified in ac-cordance with the standard LAS 1.2, our research focuses on the class 6 - buildings. In the project ISOK, the buildings are not measured in whole (from every side).A typical way to measure the missing elements is to increase the coverage of the cross and additional raids which unfortunately increases the cost measurements. An alternative solution density point clouds ALS is the use of optical scanning and UAV. The article shows the process of density the point clouds coming from ALS using point cloud obtained through optical scanning.The methods that illustrate the process of compaction data format LAS using the following methods: point cloud having field coordinates in the system compatible with the system of clouds acquired with ALS, point cloud in the local system, point cloud in the local system without the scale.The file size, depending on the density of the point cloud was analyzed.

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Accepted albo Published Version
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Creative Commons: CC-BY-NC otwiera się w nowej karcie

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Kategoria:
Aktywność konferencyjna
Typ:
materiały konferencyjne indeksowane w Web of Science
Tytuł wydania:
“Environmental Engineering” 10th International Conference strony 1 - 6
Język:
angielski
Rok wydania:
2017
Opis bibliograficzny:
Bobkowska K., Inglot A., Przyborski M., Sieniakowski J., Tysiąc P..: Low-Level Aerial Photogrammetry as a Source of Supplementary Data for ALS Measurements, W: “Environmental Engineering” 10th International Conference, 2017, ,.
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3846/enviro.2017.168
Bibliografia: test
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  2. Bobkowska K., Inglot A., Mikusova M., Tysiąc P. 2017. Implementation of spatial information for monitoring and analysis of the area around the port using laser scanning techniques, POLISH MARITIME RESEARCH 24(93). otwiera się w nowej karcie
  3. Bobkowska K., Janowski A., Przyborski M., Szulwic J. 2016. A new method of persons identification based on comparative analysis of 3d face models SGEM2016 Conference Proceedings, Book2 Vol. 2. DOI: 10.5593/SGEM2016/B22/S10.098 . otwiera się w nowej karcie
  4. Bobkowska K., Janowski A., Przyborski M., Szulwic J. 2016. Analysis of high resolution clouds of points as a source of biometric data Geodetic Congress (Geomatics), Baltic. , Gdansk. DOI: 10.1109/BGC.Geomatics.2016.12 . otwiera się w nowej karcie
  5. Colomina I., Molina P. 2014. Unmanned aerial systems for photogrammetry and remote sensing: A review, ISPRS Journal of Photogrammetry and Remote Sensing 92: 79-97. DOI: 10.1016/j.isprsjprs.2014.02.013 . otwiera się w nowej karcie
  6. Hejmanowska B., Kamiński W., Przyborski M., Pyka K., Pyrchla J. 2015. Modern remote sensing and the challenges facing education systems in terms of its teaching EDULEARN15 Proceedings , ISBN 978-84-606-8243-1, ISSN 2340-1117, 7th International Conference on Education and New Learning Technologies, 6-8 July 2015, Barcelona, Spain.Prieiga per internetą: http://www.gdansk.geo.edu.pl/publikacje/EDULEARN_PROCEEDINGS_2015_remote-sensing.pdf.
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Weryfikacja:
Politechnika Gdańska

wyświetlono 191 razy

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