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Automated Inspection of Power Line Corridors to measure Vegetation Undercut using UAV-based Images

Maurer, M. and Hofer, Manuel and Fraundorfer, Friedrich and Bischof, Horst (2017) Automated Inspection of Power Line Corridors to measure Vegetation Undercut using UAV-based Images. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 33-40. ISPRS conference, 4.-7.Sep. 2017, Bonn.

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Abstract

Power line corridor inspection is a time consuming task that is performed mostly manually. As the development of UAVs made huge progress in recent years, and photogrammetric computer vision systems became well established, it is time to further automate inspection tasks. In this paper we present an automated processing pipeline to inspect vegetation undercuts of power line corridors. For this, the area of inspection is reconstructed, geo-referenced, semantically segmented and inter class distance measurements are calculated. The presented pipeline performs an automated selection of the proper 3D reconstruction method for on the one hand wiry (power line), and on the other hand solid objects (surrounding). The automated selection is realized by performing pixel-wise semantic segmentation of the input images using a Fully Convolutional Neural Network. Due to the geo-referenced semantic 3D reconstructions a documentation of areas where maintenance work has to be performed is inherently included in the distance measurements and can be extracted easily. We evaluate the influence of the semantic segmentation according to the 3D reconstruction and show that the automated semantic separation in wiry and dense objects of the 3D reconstruction routine improves the quality of the vegetation undercut inspection. We show the generalization of the semantic segmentation to datasets acquired using different acquisition routines and to varied seasons in time.

Item URL in elib:https://elib.dlr.de/115763/
Document Type:Conference or Workshop Item (Speech)
Title:Automated Inspection of Power Line Corridors to measure Vegetation Undercut using UAV-based Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Maurer, M.maurer (at) icg.tugraz.atUNSPECIFIED
Hofer, Manuelmanuel (at) nakedlabs.comUNSPECIFIED
Fraundorfer, Friedrichfriedrich.fraundorfer (at) dlr.deUNSPECIFIED
Bischof, Horstbischof (at) icg.tu-graz.ac.atUNSPECIFIED
Date:August 2017
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 33-40
Status:Published
Keywords:3D Reconstruction, UAV Images, Semantic Segmentation, Automated Measuring, Clearance Distance, Inspection
Event Title:ISPRS conference
Event Location:Bonn
Event Type:international Conference
Event Dates:4.-7.Sep. 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Zielske, Mandy
Deposited On:29 Nov 2017 16:58
Last Modified:31 Jul 2019 20:13

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