Assessing the Quality and Reliability of Visual Estimates in Determining Plant Cover on Railway Embankments

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• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：10042
• 期：1
• 页码：404-410
• 全文大小：266 KB
• 参考文献：1.Hulin, B., Schussler, S.: Measuring vegetation along railway tracks. In: Proceedings of the IEEE Intelligent Transportation Systems Conference, pp. 561–565 (2005)
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  6.Yella, S., Nyberg, Roger, G., Gupta, Narendra, K., Dougherty, M.: Reliability of manual assessments in determining the types of vegetation on railway tracks. In: Wang, J., Cellary, W., Wang, D., Wang, H., Chen, S.-C., Li, T., Zhang, Y. (eds.) WISE 2015. LNCS, vol. 9419, pp. 391–399. Springer, Heidelberg (2015). doi:10.​1007/​978-3-319-26187-4_​37 CrossRef
  7.Nyberg, R.G., Yella, S., Gupta, N., Dougherty, M.: Inter-rater reliability in determining types of vegetation on railway track beds, accepted for publication. In: The 3rd International Workshop on Data Quality and Trust in Big Data in Conjunction with the 16th International Conference on Web Information Systems Engineering (WISE), Miami, USA (2015)
  8.Nyberg, R.G., Gupta, N.K., Yella, S., Dougherty, M.: Machine vision for condition monitoring vegetation on railway embankments. In: Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK (2014)
  9.Nyberg, R.G.: Automated condition monitoring of vegetation on railway track beds and embankments, Ph.D. thesis, Edinburgh Napier University, UK (2015)
  10.Coulloudon, B., Eshelman, K., Gianola, J., Nea, H.: Sampling vegetation attributes. Interagency Technical Reference BLM/RS/ST- 96/002+1730, Bureau of Land Management’s National Applied Resource Sciences Center, Bureau of Land management. National Business Center. BC-650B. P.O. Box 25047. Denver, Colorado 80225–0047 (1999)
  11.Shrout, P., Fleiss, J.: Intraclass correlations: uses in assessing rater reliability. Psychol. Bull. 86, 420–428 (1979)CrossRef
  
• 作者单位：Siril Yella (19)
  Roger G. Nyberg (19)
  
  19. Department of Computer Engineering and Informatics, Dalarna University, 78170, Borlänge, Sweden
  
• 丛书名：Web Information Systems Engineering ¨C WISE 2016
• ISBN：978-3-319-48743-4
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：10042

文摘

This study has investigated the quality and reliability of manual assessments on railway embankments within the domain of railway maintenance. Manually inspecting vegetation on railway embankments is slow and time consuming. Maintenance personnel also require extensive knowledge of the plant species, ecology and bio-diversity to be able to recommend appropriate maintenance action. The overall objective of the study is to investigate the reliable nature of manual inspection routines in favour an automatic approach. Visual estimates of plant cover reported by domain experts’ have been studied on two separate railway sections in Sweden. The first study investigated visual estimates using aerial foliar cover (AFC) and sub-plot frequency (SF) methods to assess the plant cover on a railway section in Oxberg, Alvdalsbanan, Sweden. The second study investigated visual estimates using aerial canopy cover method on a railway section outside Vetlanda, Sweden. Visual estimates of the domain experts were recorded and analysis-of-variance (ANOVA) tests on the mean estimates were investigated to see whether if there were disagreements between the raters’. ICC(2, 1) was used to study the differences between the estimates. Results achieved in this work indicate statistically significant differences in the mean estimates of cover (p < 0.05) reported by the domain experts on both the occasions.