published by Aِl-Baath University
in 2016
in
and research's language is
العربية
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Abstract in English
In this paper, we present a new algorithm to automate the detection
and extraction of buildings from satellite images, this algorithm is
distinguished since it overcomes some obstacles that limit detecting
within other methods, such as the difference in shape, color, and
height of buildings, and it doesn't need multi-spectral images or other
complex and high cost images.
References used
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INGLADA-J, 2007, “Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features,” ISPRS Remote Sens., vol. 62, no. 3, pp. 236–248
TURKER-M.,2014 , “Support vector machines classification for finding building patches from IKONOS imagery: the effect of additional bands,” Journal of Applied Remote Sensing, Vol. 8, No1