Evaluation and selection of video stabilization techniques for UAV-based active infrared thermography application

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dc.contributor.authorPant, Shashank
dc.contributor.authorNooralishahi, Parham
dc.contributor.authorAvdelidis, Nicolas Peter
dc.contributor.authorIbarra-Castanedo, Clemente
dc.contributor.authorGenest, Marc
dc.contributor.authorDeane, Shakeb
dc.contributor.authorValdes, Julio J.
dc.contributor.authorZolotas, Argyrios C.
dc.contributor.authorMaldague, Xavier P. V.
dc.date.accessioned2021-03-03T11:46:51Z
dc.date.available2021-03-03T11:46:51Z
dc.date.issued2021-02-25
dc.description.abstractnmanned Aerial Vehicles (UAVs) that can fly around an aircraft carrying several sensors, e.g., thermal and optical cameras, to inspect the parts of interest without removing them can have significant impact in reducing inspection time and cost. One of the main challenges in the UAV based active InfraRed Thermography (IRT) inspection is the UAV’s unexpected motions. Since active thermography is mainly concerned with the analysis of thermal sequences, unexpected motions can disturb the thermal profiling and cause data misinterpretation especially for providing an automated process pipeline of such inspections. Additionally, in the scenarios where post-analysis is intended to be applied by an inspector, the UAV’s unexpected motions can increase the risk of human error, data misinterpretation, and incorrect characterization of possible defects. Therefore, post-processing is required to minimize/eliminate such undesired motions using digital video stabilization techniques. There are number of video stabilization algorithms that are readily available; however, selecting the best suited one is also challenging. Therefore, this paper evaluates video stabilization algorithms to minimize/mitigate undesired UAV motion and proposes a simple method to find the best suited stabilization algorithm as a fundamental first step towards a fully operational UAV-IRT inspection system.en_UK
dc.identifier.citationPant S, Nooralishahi P, Avdelidis NP, et al., (2021) Evaluation and selection of video stabilization techniques for UAV-based active infrared thermography application. Sensors, Volume 21, Issue 5, February 2021, Article number 1604en_UK
dc.identifier.issn1424-8220
dc.identifier.urihttps://doi.org/10.3390/s21051604
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16429
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectactive infrared thermographyen_UK
dc.subjectunmanned aerial vehicle (UAV)en_UK
dc.subjectcompositesen_UK
dc.subjectaerospace componentsen_UK
dc.subjectvideo stabilizationen_UK
dc.titleEvaluation and selection of video stabilization techniques for UAV-based active infrared thermography applicationen_UK
dc.typeArticleen_UK

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