UAV-based hyperspectral imaging of iron(III) on steel infrastructure
Publication date
2024-12-20
Document type
Sammelbandbeitrag oder Buchkapitel
Organisational unit
Book title
dtec.bw-Beiträge der Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg : Forschungsaktivitäten im Zentrum für Digitalisierungs- und Technologieforschung der Bundeswehr dtec.bw : Band 2 – 2024
First page
164
Last page
168
Peer-reviewed
✅
Part of the university bibliography
✅
Files
Keyword
dtec.bw
Inspection
UAS
Path planning
Corrosion
Abstract
The inspection of infrastructure, such as bridges or floodgates, requires a significant human workload. The authors propose a general workflow for Unmanned Aerial System-based inspection of steel infrastructure using a hyperspectral camera to detect the spectral signature of iron(III) in rust, reducing the human workload by assigning visual inspection tasks to a UAS. A general scheme for corrosion damage derived from templates of different infrastructure operators and an algorithm for iron(III) detection are presented. Furthermore, the paper presents an exemplary approach for UAS path planning and validates the concepts on point cloud data of the Travehafenbrücke in Hamburg, Germany.
Version
Published version
Access right on openHSU
Open access