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