DocumentCode :
3632222
Title :
Building extraction with morphology
Author :
Ugur Acar;Bulent Bayram
Author_Institution :
Geodesy and Photogrammetry Department, Y?ld?z Technical University, ?stanbul, Turkey
fYear :
2009
fDate :
6/1/2009 12:00:00 AM
Firstpage :
33
Lastpage :
38
Abstract :
Building extraction is one of the biggest problems of the photogrammetry. Automatic building extraction from aerial imagery in an urban environment is the main focus of this study. The strategy of our approach is to reduce the complexity of the image with the mathematical morphology. True color aerial images have been used as the information source. In this study, the mathematical morphologic operator has been used to close and eliminate the unwanted objects over the building roofs. The successes of this method are about the elimination of the unwanted objects and keep up the structure of the building. Because of different style of urbanization, four different location and six high resolution ikonos satellite image have been used. The results are %85 of success.
Keywords :
"Morphology","Buildings","Image processing","Shape","Gray-scale","Color","Geodesy","Satellites","Digital images","Data mining"
Publisher :
ieee
Conference_Titel :
Recent Advances in Space Technologies, 2009. RAST ´09. 4th International Conference on
Print_ISBN :
978-1-4244-3626-2;978-1-4244-3627-9
Type :
conf
DOI :
10.1109/RAST.2009.5158221
Filename :
5158221
Link To Document :
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