@article{(Open Science Index):https://publications.waset.org/pdf/10011184,
	  title     = {Building and Tree Detection Using Multiscale Matched Filtering},
	  author    = {Abdullah H. Özcan and  Dilara Hisar and  Yetkin Sayar and  Cem Ünsalan},
	  country	= {},
	  institution	= {},
	  abstract     = {In this study, an automated building and tree detection
method is proposed using DSM data and true orthophoto image. A
multiscale matched filtering is used on DSM data. Therefore, first
watershed transform is applied. Then, Otsu’s thresholding method
is used as an adaptive threshold to segment each watershed region.
Detected objects are masked with NDVI to separate buildings and
trees. The proposed method is able to detect buildings and trees
without entering any elevation threshold. We tested our method on
ISPRS semantic labeling dataset and obtained promising results.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {14},
	  number    = {5},
	  year      = {2020},
	  pages     = {129 - 132},
	  ee        = {https://publications.waset.org/pdf/10011184},
	  url   	= {https://publications.waset.org/vol/161},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 161, 2020},
	}