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Reliability of Manual Assessments in Determining the Types of Vegetation on Railway Tracks

  • Siril YellaEmail author
  • Roger G. Nyberg
  • Narendra K. Gupta
  • Mark Dougherty
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9419)

Abstract

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’. Intra-correlation 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).

Keywords

Woody Plant Academic Staff Visual Estimate Railway Track Vertical Projection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Siril Yella
    • 1
    Email author
  • Roger G. Nyberg
    • 1
    • 2
  • Narendra K. Gupta
    • 2
  • Mark Dougherty
    • 1
  1. 1.Department of Computer EngineeringDalarna UniversityBorlängeSweden
  2. 2.School of Engineering and Built EnvironmentEdinburgh Napier UniversityEdinburghUK

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