@article{(Open Science Index):https://publications.waset.org/pdf/9999539,
	  title     = {Roof Material Detection Based on Object-Based Approach Using WorldView-2 Satellite Imagery},
	  author    = {Ebrahim Taherzadeh and  Helmi Z. M. Shafri and  Kaveh Shahi},
	  country	= {},
	  institution	= {},
	  abstract     = {One of the most important tasks in urban remote
sensing is the detection of impervious surfaces (IS), such as roofs and
roads. However, detection of IS in heterogeneous areas still remains
one of the most challenging tasks. In this study, detection of concrete
roof using an object-based approach was proposed. A new rule-based
classification was developed to detect concrete roof tile. This
proposed rule-based classification was applied to WorldView-2
image and results showed that the proposed rule has good potential to
predict concrete roof material from WorldView-2 images, with 85%
accuracy.
},
	    journal   = {International Journal of Environmental and Ecological Engineering},
	  volume    = {8},
	  number    = {10},
	  year      = {2014},
	  pages     = {1826 - 1829},
	  ee        = {https://publications.waset.org/pdf/9999539},
	  url   	= {https://publications.waset.org/vol/94},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 94, 2014},
	}