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Testing Dense Point Clouds from UAV Surveys for Landscape Visualizations

The article deals with the use of point clouds datasets from UAV surveys for visualization of changes in landscape scenery. The method aims for non-biased visualization of architectural proposals without any artistic effects and should be used as a basis for decision making in the area concerned. The article proposes our workflow and tests it against photo simulation and mesh-based 3D modeling. The aim is to test, whether there are significant differences between the methods and verify, whether the process is viable.

Autor / Author: Sedláček, Jozef; Klepárník, Radim
Institution / Institution: Mendel University Brno/Czech Republic; Mendel University Brno/Czech Republic
Seitenzahl / Pages: 8
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA − Journal of Digital Landscape Architecture, 4-2019
Tagung / Conference: Digital Landscape Architecture 2019 – Landscape: Informed by Science, Shaped by Design
Veranstaltungsort, -datum / Venue, Date: Anhalt University, Dessau, Germany 22-05-19 - 25-05-19
Schlüsselwörter (de):
Keywords (en): Point cloud, landscape scenery, visualization, UAV
Paper review type: Full Paper Review
DOI: doi:10.14627/537663028
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