du.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Reliability of manual assessments in determining the types of vegetation on railway tracks
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.
Högskolan Dalarna, Akademin Industri och samhälle, Informatik.ORCID-id: 0000-0003-4812-4988
Edinburgh Napier University.
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.
2015 (Engelska)Ingår i: Web Information Systems Engineering – WISE 2015: 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part II / [ed] Wang, J., Cellary, W., Wang, D., Wang, H., Chen, S.-C., Li, T., Zhang, Y., Springer, 2015, Vol. 9149, s. 391-399Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Current day vegetation assessments within railway maintenance are (to a large extent) carried out manually. This study has investigated the reliability of such manual assessments by taking three non-domain experts into account. Thirty-five track images under different conditions were acquired for the purpose. For each image, the raters’ were asked to estimate the cover of woody plants, herbs and grass separately (in %) using methods such as aerial canopy cover, aerial foliar cover and sub-plot frequency. Visual estimates of raters’ were recorded and analysis-of-variance tests on the mean cover estimates were investigated to see whether if there were disagreements between the raters’.  In tra-correl ation coefficient was used to study the differences between the estimates. Results achieved in this work revealed that seven out of the nine analysis-of-variance tests conducted in this study have demonstrated significant difference in the mean estimates of cover (p < 0.05).

Ort, förlag, år, upplaga, sidor
Springer, 2015. Vol. 9149, s. 391-399
Serie
Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI, ISSN 0302-9743 ; 9419
Nyckelord [en]
Measurements, Reliability, Monitoring, Railway, Vegetation, Maintenance, Human raters, Visual estimates
Nationell ämneskategori
Data- och informationsvetenskap Sannolikhetsteori och statistik
Forskningsämne
Komplexa system - mikrodataanalys
Identifikatorer
URN: urn:nbn:se:du-20540DOI: 10.1007/978-3-319-26187-4_37ISBN: 978-3-319-26187-4 (tryckt)ISBN: 978-3-319-26186-7 (tryckt)OAI: oai:DiVA.org:du-20540DiVA, id: diva2:889581
Konferens
Web Information Systems Engineering – WISE 2015, 16th International Conference, Miami, FL, USA, November 1-3, 2015
Tillgänglig från: 2015-12-27 Skapad: 2015-12-27 Senast uppdaterad: 2018-01-10Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltext

Personposter BETA

Yella, SirilNyberg, Roger GDougherty, Mark

Sök vidare i DiVA

Av författaren/redaktören
Yella, SirilNyberg, Roger GDougherty, Mark
Av organisationen
DatateknikInformatik
Data- och informationsvetenskapSannolikhetsteori och statistik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetricpoäng

doi
isbn
urn-nbn
Totalt: 416 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf