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Articles
  • OpenAccess
  • Comparison of Three Image Classification Methods in Urban Environment  [EPPH 2015]
  • DOI: 10.4236/gep.2015.32009   PP.54 - 59
  • Author(s)
  • Malgorzata Verőné Wojtaszek, Valéria Balázsik, Tamás Jancsó, Margit Horoszné Gulyás, Qingyan Meng
  • ABSTRACT
  • The article is dealing with different classification methods applied for urban aerial photos having visible and infrared channels. An accuracy assessment was carried out to compare the results gained from different classification methods.

  • KEYWORDS
  • Classification, Neuralnet, Segments, Land Cover
  • References
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    Lu, D., Hetrick, S. and Moran, E. (2010) Land Cover Classification in a Complex Urban_Rural Landscape with Quick-Bird Imagery. Photogrammetric Engineering & Remote Sensing, 76, 1159-1168.
    http://dx.doi.org/10.14358/PERS.76.10.1159
    [2]
    Zhang, Y. (1999) Optimisation of Building Detection in Satellite Images by Combining Multispectral Classification and Texture Filtering, Journal of Photogrammetry & Remote Sensing, 54, 50-60. Fisher, H.E., Aron, A. and Brown, L.L. (2006) Romantic Love: A Mammalian Brain System for Mate Choice. Philosophical Transactions of the Royal Society: Biological Sciences, 361, 2173-2186.
    [3]
    Fekete, I., Dezs?, B., László, I. and ócsai, K. (2008) The Role of Segmentation in the Thematic Clssification of Satellite Images. Informatika a fels?oktatásban 2008 konferencia elektronikus kiadványa, DE Informatikai Kar, Debrecen.

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