UAV-based hyperspectral imaging of iron(III) on steel infrastructure

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

ISBN

978-3-86818-329-0

First page

164

Last page

168

Is part of

https://openhsu.ub.hsu-hh.de/handle/10.24405/16768

Peer-reviewed

✅

Part of the university bibliography

✅

File(s)

openHSU_16794.pdf (1 MB)

Language

English

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