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Articles

Supervised classification of electric power transmission line nominal voltage from high-resolution aerial imagery

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Pages 860-879 | Received 30 Jun 2017, Accepted 29 Mar 2018, Published online: 12 Apr 2018

References

  • Amancio, D. R., C. H. Comin, D. Casanova, G. Travieso, O. M. Bruno, F. A. Rodrigues, and L. F. Costa. 2014. “A Systematic Comparison of Supervised Classifiers.” PLos ONE 9 (4): e94137. doi:10.1371/journal.pone.0094137.
  • Ambite, J. L., Y. Arens, E. Hovy, A. Philpot, L. Gravano, V. Hatzivassiloglou, and J. Klavans. 2001. “Simplifying Data Access: The Energy Data Collection Project.” Computer 34 (2): 47–54. doi:10.1109/2.901167.
  • Central Station Engineers of the Westinghouse Electric Corporation (CSEWEC). 1964. Electrical Transmission and Distribution Reference Book. West Pittsburgh, PA: Westinghouse Electric Corporation.
  • Donker, F. W., B. van Loenen, and A. K. Bregt. 2016. “Open Data and Beyond.” International Journal of Geo-Information 5 (4): 48. doi:10.3390/ijgi5040048.
  • Goodchild, M. F., and J. A. Glennon. 2010. “Crowdsourcing Geographic Information for Disaster Response: A Research Frontier.” International Journal of Digital Earth 3 (3): 231–241. doi:10.1080/17538941003759255.
  • Hong, H., B. Pradhan, X. Chong, and D. T. Bui. 2015. “Spatial Prediction of Landslide Hazard at the Yihuang Area (China) Using Two-Class Kernel Logistic Regression, Alternating Decision Tree and Support Vector Machines.” Catena 133: 266–281. doi:10.1016/j.catena.2015.05.019.
  • James, G., D. Witten, T. Hastie, and R. Tibshirani. 2013. An Introduction to Statistical Learning with Applications in R. New York: Springer.
  • Janssen, M., Y. Charalabidis, and A. Zuiderwijk. 2012. “Benefits, Adoption Barriers and Myths of Open Data and Open Government.” Information Systems Management 29 (4): 258–268. doi:10.1080/10580530.2012.716740.
  • Kerski, J. J., and J. Clark. 2012. The GIS Guide to Public Domain Data. Redlands: ESRI Press.
  • Kirtley, J. L. 2010. Electric Power Principles: Sources, Conversion, Distribution and Use. West Sussex: John Wiley and Sons.
  • Li, M., J. Im, and C. Beier. 2013. “Machine Learning Approaches for Forest Classification and Change Analysis Using Multi-Temporal Landsat TM Images over Huntington Wildlife Forest.” GIScience and Remote Sensing 50: 361–384.
  • Minnesota Geospatial Information Office. 2014. “Electric Transmission Lines and Substations, 60 Kilovolt and Greater, Minnesota.” Accessed 25 September 2014. https://catalog.data.gov/dataset/electric-transmission-lines-and-substations-60-kilovolt-and-greater-minnesota-2014.
  • Murray-Rust, P. 2008. “Open Data in Science.” Serials Review 34 (1): 52–64. doi:10.1016/j.serrev.2008.01.001.
  • Oak Ridge National Laboratory Geographic Information Science and Technology Group, Los Alamos National Laboratory, Idaho National Laboratory, National Geospatial-Intelligence Agency, Homeland Security Infrastructure Program Team. 2017. “Electric Power Transmission Lines.” (dataset). Homeland Infrastructure Foundation-Level Data Open. Accessed 5 February 2018. https://hifld-geoplatform.opendata.arcgis.com/datasets/electric-power-transmission-lines.
  • Pham, B. T., D. Tien Bui, M. B. Dholakia, I. Prakash, and H. V. Pham. 2016. “A Comparative Study of Least Square Support Vector Machines and Multiclass Alternating Decision Trees for Spatial Prediction of Rainfall-Induced Landslides in A Tropical Cyclones Area.” Geotechnical and Geological Engineering 34 (6): 1807–1824. doi:10.1007/s10706-016-9990-0.
  • Quinlan, J. R. 1986. “Induction of Decision Trees.” Machine Learning 1 (1): 81–106. doi:10.1007/BF00116251.
  • Rustebakke, H. M., ed. 1983. Electric Utility Systems and Practices. 4th ed. New York: John Wiley & Sons.
  • Schmidt, E. H. 2016. “Classifying Nominal Voltage of Electric Power Transmission Lines Using Remotely-Sensed Data.” Master’s Thesis, University of Tennessee. http://trace.tennessee.edu/utk_gradthes/3807
  • Shoemaker, T. M., and J. E. Mack. 2002. The Lineman’s and Cableman’s Handbook. 10th ed. New York: McGraw-Hill Companies.
  • Short, T. A. 2004. Electric Power Distribution Handbook. Boca Raton, FL: CRC Press.
  • Simpson-Porco, J. W., F. Dörfler, and F. Bullo. 2016. “Voltage Collapse in Complex Power Grids.” Nature Communications 7. doi:10.1038/ncomms10790.
  • Singh, K. K., J. B. Vogler, D. A. Shoemaker, and R. K. Meentemeyer. 2012. “LiDAR-Landsat Data Fusion for Large-Area Assessment of Urban Land Cover: Balancing Spatial Resolution, Data Volume and Mapping Accuracy.” ISPRS Journal of Photogrammetry and Remote Sensing 74: 110–121. doi:10.1016/j.isprsjprs.2012.09.009.
  • Therneau, T. M., and E. J. Atkinson. 2017. “An Introduction to Recursive Partitioning Using the RPART Routines.” Cran.R-Project. Accessed 12 March. https://cran.r-project.org/web/packages/rpart/vignettes/longintro.pdf.
  • Torbick and Corbiere. 2015. “Mapping Urban Sprawl and Impervious Surfaces in the Northeast United States for the past Four Decades.” GIScience and Remote Sensing 52: 746–764. doi:10.1080/15481603.2015.1076561.
  • Wang, W., and M. Barnes. 2014. “Power Flow Algorithms for Multi-Terminal VSC-HVDC WithDroop Control.” IEEE Transactions on Power Systems 29 (4): 1721–1730. doi:10.1109/TPWRS.2013.2294198.

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