Abdul Qayyum1,*, Iftikhar Ahmad2, Mohsin Iftikhar3, Moona Mazher4
Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 693-702, 2020, DOI:10.32604/iasc.2020.010103
Abstract UAV (Unmanned Aerial Vehicle) equipped with remote sensing devices can
acquire spatial data with a relevant area of interest. In this paper, we have
acquired UAV data for high voltage power poles, urban areas and
vegetation/trees near power lines. For object classification, the proposed
approach based on the fuzzy classifier is compared with the traditional
minimum distance classifier and maximum likelihood classifier on our three
defined segments of UAV images. The performance evaluation of all the
classifiers was based on the statistics parameters which included the mean,
standard deviation and PDF (probability density function) of each object present
in the… More >
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