Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Small Uncrewed Aircraft Systems-Based Orthophoto and Digital Elevation Model Creation and Accuracy Evaluation for Airfield Portland Cement Concrete Pavement Distress Detection and Rating
Early detection and repair of airfield pavement distresses are essential aspects of preserving airport pavements for the full spans of their design periods and maintaining their structural integrity, ride quality, and safety. In recent years, various studies have been conducted for pavement distress detection and mapping using alternate data collection methodologies, including small uncrewed aerial systems (sUAS). This study evaluates the usefulness of red-green-blue (RGB) orthophoto and digital elevation models (DEMs) generated from sUAS data in detecting various airfield Portland cement concrete (PCC) pavement distress. Fourteen airfield PCC pavement distresses with different severities were studied using RGB orthophotos with resolutions ranging from 0.8 mm/pixel to 21 mm/pixel and DEM resolutions ranging from 3.0 mm/pixel to 84 mm/pixel. The analysis showed that the RGB optical orthophotos and DEM were useful for detecting 13 out of 14 PCC pavement distresses and confirmation of the location of 11 out of 14 distresses, respectively.
Small Uncrewed Aircraft Systems-Based Orthophoto and Digital Elevation Model Creation and Accuracy Evaluation for Airfield Portland Cement Concrete Pavement Distress Detection and Rating
Early detection and repair of airfield pavement distresses are essential aspects of preserving airport pavements for the full spans of their design periods and maintaining their structural integrity, ride quality, and safety. In recent years, various studies have been conducted for pavement distress detection and mapping using alternate data collection methodologies, including small uncrewed aerial systems (sUAS). This study evaluates the usefulness of red-green-blue (RGB) orthophoto and digital elevation models (DEMs) generated from sUAS data in detecting various airfield Portland cement concrete (PCC) pavement distress. Fourteen airfield PCC pavement distresses with different severities were studied using RGB orthophotos with resolutions ranging from 0.8 mm/pixel to 21 mm/pixel and DEM resolutions ranging from 3.0 mm/pixel to 84 mm/pixel. The analysis showed that the RGB optical orthophotos and DEM were useful for detecting 13 out of 14 PCC pavement distresses and confirmation of the location of 11 out of 14 distresses, respectively.
Small Uncrewed Aircraft Systems-Based Orthophoto and Digital Elevation Model Creation and Accuracy Evaluation for Airfield Portland Cement Concrete Pavement Distress Detection and Rating
All Sourav, Md. Abdullah (Autor:in) / Ceylan, Halil (Autor:in) / Kim, Sunghwan (Autor:in) / Brooks, Colin (Autor:in) / Peshkin, David (Autor:in) / Dobson, Richard (Autor:in) / Brynick, Matthew (Autor:in) / DiPilato, Mike (Autor:in)
International Conference on Transportation and Development 2022 ; 2022 ; Seattle, Washington
31.08.2022
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Full-scale field testing of precast Portland cement concrete panel airfield pavement repairs
| Online Contents | 2014